Abstract: Gad Allon (“ ‘We Will Be Right with You’: Managing Customer Expectations with Vague Promises and Cheap Talk ”) is an associate professor of managerial economics and decision science at the Kellogg School of Management at Northwestern University. Recently he has been studying models of information sharing among firms and customers both in service and retail settings. He is also conducting empirical studies to investigate time-based competition in the fast-food industry as well as the factors contributing to emergency department overcrowding. Ravi Anupindi (“ Integrated Optimization of Procurement, Processing, and Trade of Commodities ”) is Michael R. and Mary Kay Hallman Fellow and Professor of Operations Management at the Stephen M. Ross School of Business at the University of Michigan, Ann Arbor. His main research areas include supply chain management, strategic sourcing, lean operations, and marketing-operations interfaces. His more recent interest is in supply chain issues as well as health-care delivery models in the emerging economies. Achal Bassamboo (“ ‘We Will Be Right with You’: Managing Customer Expectations with Vague Promises and Cheap Talk ”) is an associate professor of managerial economics and decision science at the Kellogg School of Management at Northwestern University. His research interests lie in the areas of service systems, revenue management, and information sharing. His current research involves designing flexible service systems with a focus on capacity planning and effects of parameter uncertainty. He is also studying credibility of information provided by a service provider or a retailer to its customers. Dimitris Bertsimas (“ Optimal Selection of Airport Runway Configurations ”) is the Boeing Leaders for Global Operations Professor of Management at Massachusetts Institute of Technology (MIT), the codirector of the Operations Research Center at MIT, and a member of the National Academy of Engineering. His research interests include discrete, robust, and stochastic optimization and their applications. E. Borgonovo (“ A Study of Interactions in the Risk Assessment of Complex Engineering Systems: An Application to Space PSA ”) is the director of the ELEUSI research center and associate professor at the Department of Decision Sciences, Bocconi University, Milan, Italy. He received his Ph.D. at Massachusetts Institute of Technology. He is a recipient of several national and international awards, including the McCormack Fellowship of the Westinghouse Corporation. He is a member of the editorial boards of several journals including European Journal of Operational Research, Reliability Engineering and System Safety, International Journal of Mathematics in Operational Research, International Journal of Risk Management, and International Journal of Service and Computing-Oriented Manufacturing. He is the author of more than 90 publications. Ivan Contreras (“ Benders Decomposition for Large-Scale Uncapacitated Hub Location ”) is a post-doctoral fellow at HEC Montréal and at the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT). In 2009 he received his Ph.D. degree from the Department of Statistics and Operations Research at the Technical University of Catalonia. His research interests include location analysis, network design, combinatorial optimization, and decomposition methods for large-scale optimization. His main papers have appeared in Transportation Science, INFORMS Journal on Computing, European Journal of Operational Research, Computers & Operations Research, Operations Research Spectrum, and Annals of Operations Research. Jean-François Cordeau (“ Benders Decomposition for Large-Scale Uncapacitated Hub Location ”) is a professor of logistics and operations management at HEC Montréal, where he holds the Canada Research Chair in Logistics and Transportation. He is also an assistant director of the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT) and member of the Groupe d'études et de recherche en analyse des décisions (GERAD). He is associate editor of Asia-Pacific Journal of Operational Research, INFOR, OR Insight, and a member of the editorial board of Computers & Operations Research. He has authored or coauthored more than 80 articles in the areas of transportation, logistics, combinatorial optimization, and decomposition methods for large-scale optimization. Sripad K. Devalkar (“ Integrated Optimization of Procurement, Processing, and Trade of Commodities ”) is an assistant professor of operations management at the Indian School of Business. His interests lie in exploring problems at the interface of operations management, finance, and risk management. The research published here was conducted when he was a Ph.D. student in the Operations and Management Science Department at the Stephen M. Ross School of Business at the University of Michigan, Ann Arbor. Francis de Véricourt (“ Nurse Staffing in Medical Units: A Queueing Perspective ”) is an associate professor of technology and operations management at INSEAD and adjunct professor at Duke University. His academic interests are in operations excellence. His recent research focuses on health care and sustainability. Andreas Ehrenmann (“ Generation Capacity Expansion in a Risky Environment: A Stochastic Equilibrium Analysis ”) is chief analyst in the Center of Expertise in Economic Modeling and Studies in GDF Suez. He obtained his Diploma in mathematics from the University of Karlsruhe and his Ph.D. from the Judge Business School of the University of Cambridge (Management Science Group). Jiejian Feng (“ An Optimal Policy for Joint Dynamic Price and Lead-Time Quotation ”) is a visiting faculty member in the Business School of St. Mary's University in Halifax, Nova Scotia, Canada. He received his Ph.D. in operations management, his M.Phil. in human factors from the Hong Kong University of Science and Technology, and his B.A. in applied mathematics from the South China University of Technology. His research interests include operations management, financial engineering, and footwear design and development. Michael Frankovich (“ Optimal Selection of Airport Runway Configurations ”) is a doctoral candidate at the Operations Research Center at Massachusetts Institute of Technology. He is broadly interested in optimization and its applications, notably in transportation. Cheng-Der Fuh (“ Efficient Simulation of Value at Risk with Heavy-Tailed Risk Factors ”) is Chair Professor in the Graduate Institute of Statistics, National Central University, and research fellow in the Institute of Statistical Science, Academia Sinica, both in Taiwan. His research interests are in hidden Markov models, Markov chain Monte Carlo, change point detection, and quantitative finance. This paper reflects part of his continuing interest and effort in constructing efficient simulation schemes. Itai Gurvich (“ ‘We Will Be Right with You’: Managing Customer Expectations with Vague Promises and Cheap Talk ”) is an assistant professor of managerial economics and decision science at the Kellogg School of Management at Northwestern University. He studies queueing aspects of large-scale service systems with a focus on network design, staffing, and routing decisions. Arie Harel (“ Convexity Results for the Erlang Delay and Loss Formulae When the Server Utilization Is Held Constant ”) is an associate professor at the Zicklin School of Business, Baruch College, City University of New York. This paper continues his long-standing interest in the convexity properties of queueing systems. Tobias Harks (“ The Worst-Case Efficiency of Cost Sharing Methods in Resource Allocation Games ”) is a postdoctoral researcher at the Combinatorial Optimization and Graph Algorithms Group of the Institute of Mathematics at Technical University Berlin. His research covers algorithmic game theory, approximation algorithms, and online algorithms. He is particularly interested in formulating and analyzing game-theoretic models related to traffic and computer networks. Ya-Hui Hsu (“ Efficient Simulation of Value at Risk with Heavy-Tailed Risk Factors ”) completed her Ph.D. in statistics at the University of Illinois at Urbana–Champaign. She works as a statistician at Abbott Laboratories, a health-care company based in Abbott Park, Illinois. Her research interests include quantile regression, risk management, Bayesian inference, stochastic calculus, and importance sampling. This paper reflects part of her continuing interest and effort in constructing efficient simulation schemes. Inchi Hu (“ Efficient Simulation of Value at Risk with Heavy-Tailed Risk Factors ”) is a professor at the School of Business and Management, Hong Kong University of Science and Technology. This paper reflects part of his continuing interest and effort in constructing efficient simulation schemes. A. J. E. M. Janssen (“ Refining Square-Root Safety Staffing by Expanding Erlang C ”) received his engineering degree and Ph.D. degree in mathematics from the Eindhoven University of Technology (TU/e), the Netherlands, in 1976 and 1979, respectively. From 1979 to 1981 he was a Bateman Research Instructor at the Mathematics Department of California Institute of Technology. From 1981 until 2010 he worked with Philips Research Laboratories, Eindhoven, where he was a research fellow since 1999 and recipient of the Gilles Holst Award in 2003. His principal responsibility at Philips Research was to provide high-level mathematical service and consultancy in mathematical analysis. He continues his research and consultancy activities from his current affiliations with TU/e, EURANDOM, and the Department of Electrical Engineering, with additional affiliation with TU–Delft (optics) and ASML. In 2003, he was elected Fellow of the IEEE for his contributions to mathematical time-frequency analysis and signal processing. He has published over 180 papers in the fields of Fourier analysis, signal analysis, time-frequency analysis, electron microscopy, optical diffraction theory, acoustics, and queueing theory. His current interests include the application of mathematical techniques as used in the theory of optical aberrations to the characterization of acoustical radiators. Otis B. Jennings (“ Nurse Staffing in Medical Units: A Queueing Perspective ”) is an associate professor of operations management at the Duke University Fuqua School of Business. His academic interests are in queueing systems as models of manufacturing and service systems and the fluid and diffusion asymptotic analysis of such systems. Jae Ho Kim (“ Optimal Energy Commitments with Storage and Intermittent Supply ”) is a Ph.D. candidate in the Department of Electrical Engineering at Princeton University, where he has been a student since 2007. He earned B.A. and M.A. degrees in electrical engineering at Cooper Union in New York in 2007. His research area is in dynamic decision making under uncertainty, and he works at the CASTLE Laboratory under the supervision of Warren Powell. Matthias Köppe (“ Rational Generating Functions and Integer Programming Games ”) is an associate professor of mathematics at the University of California, Davis. He received his Ph.D. in mathematics at the Otto von Guericke University of Magdeburg in 2002. His research interests include integer programming and computational discrete mathematics. Gilbert Laporte (“ Benders Decomposition for Large-Scale Uncapacitated Hub Location ”) is a professor of operations research at HEC Montréal and Canada Research Chair in Distribution Management. He is also a member of the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT) and founding member of the Groupe d'études et de recherche en analyse des décisions (GERAD). He has authored or coauthored 15 books and more than 380 scientific articles in combinatorial optimization, mostly in the areas of vehicle routing, location, and timetabling. He is the former editor-in-chief of Transportation Science and Computers & Operations Research. He is associate editor or editorial board member of Transportation Science, Networks, Naval Research Logistics, Computers & Operations Research, and several other journals. He is a member of the Royal Society of Canada, from which he received the Innis-Gérin Medal. In 2009 he received the Robert M. Herman Lifetime Achievement Award in Transportation Science from the Transportation Science and Logistics Society of INFORMS. Yun Fong Lim (“ Cellular Bucket Brigades ”) is an assistant professor at the Lee Kong Chian School of Business, Singapore Management University, where he teaches operations management at the undergraduate and graduate levels. His research centers on workforce management in manufacturing and services. He is especially interested in boosting productivity of work teams through cross-training, work-sharing, self-organization, and effective remuneration. He served twice as cluster chair of workforce management for INFORMS annual meetings. His other research interests include warehousing and fulfillment in supply chains. Liming Liu (“ An Optimal Policy for Joint Dynamic Price and Lead-Time Quotation ”) is a chair professor of operations management at Hong Kong Lingnan University. Previously he was a professor of operations management at Hong Kong Polytechnic University. His research interests focus on logistics and supply chain management. He also works in the areas of shipping, maritime studies, and health-care management. Xiaoming Liu (“ An Optimal Policy for Joint Dynamic Price and Lead-Time Quotation ”) is an associate professor of management at the University of Macau, China. Her research interest is in the modeling and solution of optimization problems with applications in supply chain management, health care, and hospitality management. Konstantin Miller (“ The Worst-Case Efficiency of Cost Sharing Methods in Resource Allocation Games ”) is a Ph.D. student in the Telecommunication Networks Group at Technical University Berlin. His research interests include combinatorial optimization and game theory, with special focus on communication networks. Javad Nasiry (“ Dynamic Pricing with Loss-Averse Consumers and Peak-End Anchoring ”) is an assistant professor in the Information Systems, Business Statistics and Operations Management (ISOM) Department at Hong Kong University of Science and Technology. His research interests lie in the area of behavioral operations and contract theory. The current paper is part of his Ph.D. dissertation at INSEAD and stems from a broader agenda that uses modeling and experimental approaches to study realistic behavior in operational contexts. Amedeo Odoni (“ Optimal Selection of Airport Runway Configurations ”) is professor of aeronautics and astronautics, professor of civil and environmental engineering, and a codirector of the Airline Industry Program at Massachusetts Institute of Technology (MIT). He has also served as codirector of the FAA's National Center of Excellence in Aviation Education, codirector of the Operations Research Center at MIT, editor of Transportation Science, and consultant to numerous international airport and aviation-related organizations. His recent books include the bestselling textbook Airport Systems: Planning, Design and Management (McGraw-Hill 2003) coauthored with Richard de Neufville, and The Global Airline Industry (John Wiley & Sons 2009) coedited with Peter Belobaba and Cynthia Barnhart. Ioana Popescu (“ Dynamic Pricing with Loss-Averse Consumers and Peak-End Anchoring ”) is the Booz & Company Professor in Revenue Management and associate professor of decision sciences at INSEAD, Singapore. Her research interests are in pricing and revenue management, behavioral operations, and moment problems. This paper is part of a larger research program that incorporates realistic customer behavior in pricing and revenue management. Warren B. Powell (“ Optimal Energy Commitments with Storage and Intermittent Supply ”) is a professor in the Department of Operations Research and Financial Engineering at Princeton University, where he has taught since 1981. He is the director of CASTLE Laboratory ( http://www.castlelab.princeton.edu ), which specializes in the development of stochastic optimization models and algorithms with applications in transportation and logistics, energy, health, and finance. The author/coauthor of over 170 refereed publications, he is an INFORMS Fellow and the author of Approximate Dynamic Programming: Solving the Curses of Dimensionality (John Wiley & Sons). His primary research interests are in approximate dynamic programming for high-dimensional applications, optimal learning (the efficient collection of information), and their application in energy systems analysis and transportation. He is a recipient of the Wagner Prize and has twice been a finalist in the prestigious Edelman competition. He has served in a variety of editorial and administrative positions for INFORMS, including INFORMS Board of Directors, area editor for Operations Research, president of the Transportation Science Section, and numerous prize and administrative committees. Maurice Queyranne (“ Rational Generating Functions and Integer Programming Games ”) is the Advisory Council Professor in Operations and Logistics at the Sauder School of Business, University of British Columbia, Vancouver, British Columbia, Canada. His research and teaching interests range from methodology, particularly discrete optimization and game theory, to operations management, in particular supply chain and health-care management. Christopher Thomas Ryan (“ Rational Generating Functions and Integer Programming Games ”) is an assistant professor at the Booth School of Business, University of Chicago. His research interests include algorithmic game theory, discrete optimization, and health-care operations. Amitabh Sinha (“ Integrated Optimization of Procurement, Processing, and Trade of Commodities ”) is an assistant professor of operations and management science at the University of Michigan's Ross School of Business. His research interests are in supply chain management, logistics, and applications of networks and combinatorics in operations. Yves Smeers (“ Generation Capacity Expansion in a Risky Environment: A Stochastic Equilibrium Analysis ”) is Professor Emeritus at the School of Engineering of the Université Catholique de Louvain in Belgium. He is a researcher in CORE at the same university. He is scientific advisor at the Department of Economic Studies and Modelling (Centre d'Expertise en Etudes et Modélisation Economiques) of GDF Suez and a Fellow at the Judge Business School of the University of Cambridge (Management Science Group). He graduated in engineering and economics from the universities of Liège and Louvain in Belgium, respectively, and obtained his M.S. and Ph.D. degrees in industrial administration from Carnegie Mellon University. His career has focused on the modeling and economic analysis of electricity and gas markets. C. L. Smith (“ A Study of Interactions in the Risk Assessment of Complex Engineering Systems: An Application to Space PSA ”) is a key member of the Idaho National Laboratory's Risk, Reliability and NRC Programs Department. His primary duties and responsibilities are to lead risk and reliability methods research and development efforts and applied engineering projects for the U.S. Nuclear Regulatory Commission (NRC), the National Aeronautics and Space Administration (NASA), and the Department of Energy (DOE). He has made significant contributions in the way that NASA views risk and performs risk assessment. His work through the multimillion-dollar project for NASA Headquarters Office of Safety and Mission Assurance has been a major factor in reshaping the use of PRA for NASA's high-profile manned and unmanned space projects, including developing probabilistic risk-assessment models in SAPHIRE, assisting in the development of a risk-informed decision-making guidebook, and completing a NASA guidebook on Bayesian inference for risk and reliability. He obtained his undergraduate degree (B.S.) from Idaho State University (ISU). He continued his education at ISU and completed a nuclear engineering M.S. He completed his Ph.D. and doctoral thesis work at Massachusetts Institute of Technology, focusing on formal decision-making activities at nuclear power plants. George Steiner (“ Revised Delivery-Time Quotation in Scheduling with Tardiness Penalties ”) received his Ph.D. in combinatorics and optimization from the University of Waterloo in 1982 and his M.Sc. in mathematics from Loránd Eötvös University of Budapest, Hungary, in 1971. After working in industry for almost 10 years, he joined the Faculty of Business at McMaster University in 1981, where he has been a full professor since 1992. His research interests include scheduling, algorithms on graphs and partially ordered sets, and combinatorial optimization. He has published in numerous scientific journals including Operations Research, Management Science, IIE Transactions, SIAM Journal on Computing, SIAM Journal on Discrete Mathematics, Mathematics of Operations Research, Discrete Applied Mathematics, Annals of Operations Research, Journal of Graph Theory, Journal of Algorithms, and Theoretical Computer Science. Alexander L. Stolyar (“ Shadow-Routing Based Control of Flexible Multiserver Pools in Overload ”) is a Distinguished Member of Technical Staff in the Industrial Mathematics and Operations Research Department of Bell Labs, Alcatel-Lucent, Murray Hill, New Jersey. His research interests are in queueing networks, stochasic processes, and stochastic modeling of communication and service networks. The present paper is primarily motivated by applications to large-scale contact centers. It is part of the author's research in the general area of optimal control of queueing networks. Tolga Tezcan (“ Shadow-Routing Based Control of Flexible Multiserver Pools in Overload ”) is an assistant professor of operations management at the Simon Graduate School of Business at the University of Rochester. His research interests are in asymptotic analysis and optimal control of large queuing systems with applications in service systems. He obtained his Ph.D. degree in industrial and systems engineering from Georgia Institute of Technology in 2006. J. S. H. van Leeuwaarden (“ Refining Square-Root Safety Staffing by Expanding Erlang C ”) is associate professor of probability theory and stochastic networks in Eindhoven University of Technology, and research fellow of the research institute EURANDOM. He received the INFORMS Telecommunication Dissertation Award (2008), a Veni Grant (2006–2009) from the Netherlands Organisation for Scientific Research (NWO), and a Starting Grant (2010–2015) from the European Research Council. Ren-Her Wang (“ Efficient Simulation of Value at Risk with Heavy-Tailed Risk Factors ”) is an assistant professor in the Department of Banking and Finance, Tamkang University, Taiwan. His research interests are in derivatives pricing, risk management, and efficient computational methods. This paper reflects part of his continuing interest and effort in constructing efficient simulation schemes. Xinghao Yan (“ Decentralized Inventory Sharing with Asymmetric Information ”) is an assistant professor in management science at Richard Ivey School of Business, University of Western Ontario. His research interests are in information asymmetry/information sharing, inventory sharing, supplier selection, quality competition, and health-care operations. Rui Zhang (“ Revised Delivery-Time Quotation in Scheduling with Tardiness Penalties ”) obtained his Ph.D. degree at the DeGroote School of Business, McMaster University, Hamilton, Ontario, Canada in June 2010. His research focuses on supply chain scheduling, especially due date and logistics coordination. He applies a variety of methodologies such as computational complexity theory, combinatorial optimization, and design and analysis of approximation algorithms in his research. Hui Zhao (“ Decentralized Inventory Sharing with Asymmetric Information ”) is an assistant professor of management at Krannert School of Management, Purdue University. Her research interests are in the areas of supply chain management, collaboration in decentralized systems, pharmaceutical supply chains, and information sharing. She teaches business analytics, supply chain management, and pharmaceutical supply chains. Bert Zwart (“ Refining Square-Root Safety Staffing by Expanding Erlang C ”) received his Ph.D. at Eindhoven University of Technology in 2001 and held appointments at INRIA, Eindhoven, and Georgia Institute of Technology before moving to the Center of Mathematics and Computer Science (CWI) in Amsterdam. At CWI he leads the Probability and Stochastic Networks Group. He is a professor at VU University Amsterdam and is also affiliated at EURANDOM and Georgia Tech. His honors include an IBM Faculty Award, the Erlang Prize, and VENI and VIDI awards from the Dutch Science Foundation (Netherlands Organisation for Scientific Research, NWO). He is area editor for stochastic models at Operations Research and is coeditor in chief of the new journal Surveys in OR/MS.

Abstract: Ali E. Abbas (“ One-Switch Independence for Multiattribute Utility Functions ”) is an associate professor in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana–Champaign. He received an M.S. in electrical engineering (1998), an M.S. in engineering economic systems and operations research (2001), a Ph.D. in management science and engineering (2004), and a Ph.D. (minor) in electrical engineering, all from Stanford University. His research interests include utility theory, decision making with incomplete information and preferences, dynamic programming, and information theory. He is a senior member of the IEEE, a member of the Institute for Operations Research and the Management Sciences (INFORMS), a former council member of the Decision Analysis Society of INFORMS, an organizer of several decision analysis conferences, and has served on various committees of INFORMS including the decision analysis student paper award and the Junior Faculty Initiative Group. He is also an associate editor for the INFORMS journals Decision Analysis and Operations Research and coeditor of the DA column in education for Decision Analysis Today. Shipra Agrawal (“ A Unified Framework for Dynamic Prediction Market Design ”) is a Ph.D. student in the Department of Computer Science at Stanford University, working under the direction of Yinyu Ye. Her current research interests include online and stochastic optimization, prediction markets, and game theory. Sigrún Andradóttir (“ Queueing Systems with Synergistic Servers ”) is a professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. Her research interests are in the simulation and applied probability fields. More specifically, her research is focused on increasing the efficiency of stochastic simulations so that larger and more complex systems can be analyzed and optimized via simulation, and on determining how organizations can utilize flexible resources more effectively. U. Ayesta (“ Heavy-Traffic Analysis of a Multiple-Phase Network with Discriminatory Processor Sharing ”) is an IKERBASQUE researcher at the Basque Center for Applied Mathematics, Derio, Spain. Previously he was a CNRS researcher at LAAS, Toulouse, France and an ERCIM postdoc fellow at CWI, Amsterdam, The Netherlands. He received the Ph.D. degree in computer science from Universite de Nice–Sophia Antipolis (France). His Ph.D. research work was carried out at the research laboratories of INRIA (MAESTRO team) and France Telecom R & D. Urtzi Ayesta holds an M.Sc. degree in electrical engineering from Columbia University and a Diplome in telecommunication engineering from Nafarroako Unibertsitate Publikoa-Universidad Publica de Navarra (Spain). Hayriye Ayhan (“ Queueing Systems with Synergistic Servers ”) is a professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. Her interests lie in the area of analysis and control of queueing systems. The paper in this issue, coauthored with S. Andradóttir and D. G. Down, is a result of the authors' common interest in developing dynamic server assignment policies that maximize throughput in queueing networks with flexible servers. David E. Bell (“ One-Switch Independence for Multiattribute Utility Functions ”) is a professor at Harvard Business School. Like the current paper, most of his work has centered on finding ways to assess multiattribute utility functions accurately but tractably. His first papers in Operations Research, on integer programming and on utility functions for time streams, appeared in 1977. His best known Operations Research paper, on regret, appeared in 1982. He was an early chair of the Decision Analysis Society, was the program chair of the 1976 ORSA-TIMS conference in Boston, and was awarded the 2001 Ramsey Medal. Bahar Biller (“ Accounting for Parameter Uncertainty in Large-Scale Stochastic Simulations with Correlated Inputs ”) is an assistant professor of operations management and manufacturing at Carnegie Mellon University. Her primary research interest lies in the area of computer simulation experiments for stochastic systems and, more specifically, in the simulation methodology for dependent input processes with applications to financial markets and global supply chains. Arnab Bisi (“ A Periodic-Review Base-Stock Inventory System with Sales Rejection ”) is an assistant professor at the Krannert School of Management of Purdue University. His research and teaching interests include stochastic models, statistics, inventory. and supply chain management. He received a Ph.D. in mathematics and statistics from Hong Kong University of Science and Technology, an M.Stat. degree from the Indian Statistical Institute, and a B.Sc. in statistics from the University of Calcutta. Chien-Ming Chen (“ Efficient Resource Allocation via Efficiency Bootstraps: An Application to R & D Project Budgeting ”) is an assistant professor of operations management at the Nanyang Business School (NBS) of Nanyang Technological University in Singapore. Prior to his position at NBS, he was a postdoctoral scholar and lecturer at the UCLA Institute of the Environment and Sustainability. His main research interests include environmental issues in operations and management, as well as theories and applications of production economics. His research work has been published in Production and Operations Management, the European Journal of Operational Research, and other publications. Yihsu Chen (“ Economic and Emissions Implications of Load-Based, Source-Based, and First-Seller Emissions Trading Programs Under California AB32 ”) is an assistant professor in environmental economics at the University of California, Merced, with a joint appointment between the School of Social Sciences, Humanities and Arts and the School of Engineering. He is also an affiliated researcher with PSERC (Power Systems Engineering Research Center), UCE3 (University of California Center for Energy and Environmental Economics) and SNRI (Sierra Nevada Research Institute.) His research focuses on understanding industry's response to energy and environmental regulations. His current research also explores the impacts of transportation infrastructure on the local air quality and human health. Sofie Coene (“ Charlemagne's Challenge: The Periodic Latency Problem ”) is a postdoctoral student at the Faculty of Business and Economics at the University of Leuven, Belgium. She obtained her Ph.D. with a thesis entitled “Routing Problems with Profits and Periodicity” at the Katholieke Universiteit Leuven in 2009. Her research interests are in combinatorial optimization and its applications in routing and logistics. Michele Conforti (“ A Geometric Perspective on Lifting ”) is a professor of operations research in the Mathematics Department of the University of Padua. He holds a Ph.D. from Carnegie Mellon University. His research interests are in graph theory, integer programming and combinatorial optimization. He is a recipient of the Fulkerson Prize. Canan G. Corlu (“ Accounting for Parameter Uncertainty in Large-Scale Stochastic Simulations with Correlated Inputs ”) is a Ph.D. candidate in the Tepper School of Business at Carnegie Mellon University. Her research interests include the design of large-scale simulations with applications to inventory management and the applications of operations research techniques to nonprofit organizations. Gérard Cornuéjols (“ A Geometric Perspective on Lifting ”) is IBM Professor of Operations Research at the Tepper School of Business at Carnegie Mellon University. He has a Ph.D. from the School of OR and IE at Cornell University. His research interests are in integer programming and combinatorial optimization. He received the Lanchester Prize, the Fulkerson Prize, and the Dantzig Prize. Maqbool Dada (“ A Periodic-Review Base-Stock Inventory System with Sales Rejection ”) is a professor in operations management at the Johns Hopkins Carey Business School. His research and teaching interests include inventory theory, pricing models, and service operations. He received a Ph.D. in management from Massachusetts Institute of Technology and a B.S. in industrial engineering and operations management from the University of California. Evrim Dalkiran (“ Selecting Optimal Alternatives and Risk Reduction Strategies in Decision Trees ”) is a Ph.D. candidate in the Grado Department of Industrial and Systems Engineering at Virginia Polytechnic Institute and State University. Her research areas include polynomial programming, reformulation-linearization technique (RLT), and global optimization. This paper relates to her interest in decision analysis and mixed-integer programming. Erick Delage (“ A Unified Framework for Dynamic Prediction Market Design ”) graduated from Stanford University with a Ph.D. in electrical engineering under the supervision of Yinyu Ye. His thesis explores tractable methods that account for risks related to parameter and distribution uncertainty in continuous stochastic optimization problems. In June 2009, he joined the Department of Management Sciences at HEC Montréal as an assistant professor. Douglas G. Down (“ Queueing Systems with Synergistic Servers ”) is a professor in the Department of Computing and Software at McMaster University. One of his current interests is how one may exploit flexibility to construct effective scheduling schemes in distributed server systems. The paper in this issue, coauthored with S. Andradóttir and H. Ayhan, is the result of the authors' common interest in developing dynamic server assignment policies that maximize throughput in queueing networks with flexible servers. Alaa H. Elwany (“ Structured Replacement Policies for Components with Complex Degradation Processes and Dedicated Sensors ”) is an assistant professor of maintenance, reliability, and quality in the Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, The Netherlands. He received his Ph.D. in industrial and systems engineering in 2009 from the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. He earned a B.Sc. in production engineering and an M.Sc. in industrial engineering from Alexandria University, Egypt in 2002 and 2004, respectively. His main research interests are in the application of stochastic models in operations research to manufacturing systems and service logistics, with an emphasis on degradation modeling, maintenance management, and spare parts inventories. Nagi Z. Gebraeel (“ Structured Replacement Policies for Components with Complex Degradation Processes and Dedicated Sensors ”) is an associate professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. He received his M.S. and Ph.D. from Purdue University in 1998 and 2003, respectively. He holds a B.Sc. in production engineering from the University of Alexandria, Egypt. His research focuses on improving the accuracy of predicting unexpected failures of engineering systems by leveraging sensor-based data streams. His major research interests are in the areas of degradation modeling and sensor-based prognostics, reliability engineering, sensor-driven maintenance operations, and logistics. Theodore S. Glickman (“ Selecting Optimal Alternatives and Risk Reduction Strategies in Decision Trees ”) is professor of decision sciences in the George Washington University (GWU) School of Business. He holds degrees in physics and operations research from Stony Brook University and the Johns Hopkins University, respectively. Prior to GWU, he taught at Boston University and Virginia Tech. His research centers on risk analysis and its application to transportation systems and public policy issues. This paper was stimulated by his interest in the field of homeland security. Benjamin F. Hobbs (“ Economic and Emissions Implications of Load-Based, Source-Based, and First-Seller Emissions Trading Programs Under California AB32 ”) is the Theodore K. and Kay W. Schad Professor of Environmental Management in the Department of Geography and Environmental Engineering (DoGEE) of the Johns Hopkins University, Baltimore, Maryland, where he has been on the faculty since 1995. He also has a joint appointment in the Department of Applied Mathematics and Statistics. From 1977–1979, he was economics associate at Brookhaven National Laboratory, National Center for Analysis for Energy Systems. He later joined the Energy Division of Oak Ridge National Laboratory from 1982–1984. Between 1984 and 1995, he was on the faculty of the Department of Systems Engineering and Civil Engineering at Case Western Reserve University, Cleveland, Ohio. He serves on the California ISO Market Surveillance Committee, the Public Interest Advisory Committee of the Gas Technology Institute, and as an advisor to The Netherlands Energy Research Center (ECN). L. Jeff Hong (“ Sequential Convex Approximations to Joint Chance Constrained Programs: A Monte Carlo Approach ”) is an associate professor of industrial engineering and logistics management at the Hong Kong University of Science and Technology. His research has focused on stochastic simulation and stochastic optimization, with applications in financial risk management, environmental policies, and logistics and supply chain management. Salal Humair (“ Optimizing Strategic Safety Stock Placement in General Acyclic Networks ”) is a visiting associate professor at the Harvard School of Public Health in the Department of Global Health and Population. His current research interests are in the area of operations research applied to large-scale systems such as health care and water systems. Sunder Kekre (“ Valuation of Storage at a Liquefied Natural Gas Terminal ”) is the Bosch Professor of Manufacturing and Operations at the Tepper School of Business at Carnegie Mellon University. His research interests are interdisciplinary and include modeling the performance and impact of new technologies, strategic and operational assessment of product and process designs, and implications on the firm's value chain of emerging and merged markets. Guoming Lai (“ Valuation of Storage at a Liquefied Natural Gas Terminal ”) is an assistant professor in the Department of Information, Risk, and Operations Management of the McCombs School of Business at the University of Texas at Austin. His research interests include the management of real options in commodity and energy industries, the interfaces of operations with finance and marketing, and classical supply chain management topics. John D. C. Little (“ Little's Law as Viewed on Its 50th Anniversary ”) is an Institute Professor at MIT and a Professor of Management Science at the MIT Sloan School. He has been in the Marketing Group at Sloan for many years but returned to his queuing roots in 2008 to write a chapter on Little's Law for an operations management book. This was done with his colleague Stephen Graves of the MIT Sloan Operations Management Group. The current paper is the result of realizing that 2011 is the 50th anniversary of his paper “A Proof for the Queuing Formula: L = λW,” published in Operations Research. In the current paper, Little has surveyed the importance of Little's Law in the evolution of queuing theory and practice. At present he is interested in extending Little's Law still further into applications to practice and in returning to some of his marketing science agenda. Andrew L. Liu (“ Economic and Emissions Implications of Load-Based, Source-Based, and First-Seller Emissions Trading Programs Under California AB32 ”) is an assistant professor in the School of Industrial Engineering at Purdue University. His primary research interests lie in the interactions of optimization, game theory, and industrial organization, with applications to modeling and analyzing energy markets and environmental policy. His secondary interests involve risk management in energy markets. In addition to his university experience, he has worked at ICF International as a senior associate, responsible for developing optimization and stochastic models on investment and environmental policy analysis related to electricity markets. Lisa M. Maillart (“ Structured Replacement Policies for Components with Complex Degradation Processes and Dedicated Sensors ”) is an assistant professor in the Industrial Engineering Department at the University of Pittsburgh. Prior to joining the faculty at Pitt, she served on the faculty of the Department of Operations in the Weatherhead School of Management at Case Western Reserve University. She received her M.S. and B.S. in industrial and systems engineering from Virginia Polytechnic Institute and State University, and her Ph.D. in industrial and operations engineering from the University of Michigan. Her primary research interest is in sequential decision making under uncertainty, with applications in medical decision making and maintenance optimization. Karthik Natarajan (“ Mixed 0-1 Linear Programs Under Objective Uncertainty: A Completely Positive Representation ”) is an associate professor in the Department of Management Sciences, City University of Hong Kong. His research interests include mathematical finance and stochastic optimization. This paper arises from his supervision of Zhichao Zheng's honors thesis in the Department of Mathematics, National University of Singapore. R. Núñez-Queija (“ Heavy-Traffic Analysis of a Multiple-Phase Network with Discriminatory Processor Sharing ”) is associate professor of operations research at the Faculty of Economics and Business and part-time full professor of industrial mathematics at the Faculty of Science, both at the University of Amsterdam. He is also affiliated with CWI, the Center for Mathematics and Computer Science in Amsterdam. In 1995 he obtained his M.Sc. in econometrics and operations research at the Free University of Amsterdam. He wrote his dissertation at CWI and obtained his Ph.D. from Eindhoven University of Technology (TU/e) in 2000. He was subsequently affiliated with INRIA (France), CWI, TU/e, and with TNO Information and Communication Technology. He is associate editor for Mathematical Methods of Operations Research and Performance Evaluation, and was coeditor of special issues of Queueing Systems, Annals of Operations Research, and Lecture Notes in Computer Science and Performance Evaluation. Pamela Pen-Erh Pei (“ Sourcing Flexibility, Spot Trading, and Procurement Contract Structure ”) is a research associate at United BioSource in Lexington, Massachusetts. She received her Ph.D. in operations research from Massachusetts Institute of Technology in 2008 under the supervision of David Simchi-Levi, and M.S. and B.S. in mathematical sciences, and B.A. in economics from the Johns Hopkins University in 2003. Previously, she also worked as a quantitative research associate at State Street Associates and as an analyst for American International Group in Hong Kong and Shanghai, China. Mark Peters (“ A Unified Framework for Dynamic Prediction Market Design ”) earned his Ph.D. in management science and engineering from Stanford University under the guidance of Yinyu Ye. His research has been focused on applying concepts from convex optimization to prediction markets and dynamic pricing problems. Alan Scheller-Wolf (“ Valuation of Storage at a Liquefied Natural Gas Terminal ”) teaches in the Operations Management Area at the Tepper School of Business of Carnegie Mellon University. His research focuses on stochastic processes and how they can be used to estimate and improve the performance of computer, communication, manufacturing and service systems, inventory systems, and supply chains. Nicola Secomandi (“ Valuation of Storage at a Liquefied Natural Gas Terminal ”) is an associate professor of operations management at the Tepper School of Business of Carnegie Mellon University. His research interests include real options in the energy and commodity industries, the interface between operations and finance, revenue and supply chain management, and logistics under uncertainty. Hanif D. Sherali (“ Selecting Optimal Alternatives and Risk Reduction Strategies in Decision Trees ”) is a University Distinguished Professor and the W. Thomas Rice Chaired Professor of Engineering in the Industrial and Systems Engineering Department at Virginia Polytechnic Institute and State University. He is an elected member of the National Academy of Engineering. His areas of research interest are in optimization theory and its applications. This paper relates to his general interest in risk management and global optimization of nonconvex programs. David Simchi-Levi (“ Sourcing Flexibility, Spot Trading, and Procurement Contract Structure ”) is a professor of engineering systems at Massachusetts Institute of Technology. The work described in this paper is part of a larger research project that deals with effective supply chain and procurement strategies that improve supply chain performance. Related papers appeared recently in Operations Research and Mathematics of Operations Research. Frits C. R. Spieksma (“ Charlemagne's Challenge: The Periodic Latency Problem ”) is a professor in the Faculty of Business and Economics at the University of Leuven, Belgium. He has a Ph.D. in operations research from Maastricht University (1992). His research interests are in operations research, especially combinatorial optimization problems and their applications. Chung Piaw Teo (“ Mixed 0-1 Linear Programs Under Objective Uncertainty: A Completely Positive Representation ”) is a professor in the Department of Decision Sciences at the NUS Business School, National University of Singapore. His research interests include the analysis and design of algorithm, discrete optimization, and supply chain management. Tristan Tomala (“ Fault Reporting in Partially Known Networks and Folk Theorems ”) is associate professor of economics at the Economics and Decision Sciences Department of HEC Paris. His research interests include game theory, repeated games, models of strategic communication, and cryptography. This work is part of a literature that explores the interplay between game theory and distributed computing. Tunay I. Tunca (“ Sourcing Flexibility, Spot Trading, and Procurement Contract Structure ”) is an associate professor of operations, information, and technology at the Graduate School of Business at Stanford University, where he received his Ph.D. in 2002. His research interests include economics of technology and operations management, auctions and contracts for procurement, and the role of information and forecasting in supply chains. I. M. Verloop (“ Heavy-Traffic Analysis of a Multiple-Phase Network with Discriminatory Processor Sharing ”) received the M.Sc. degree in mathematics from Utrecht University, The Netherlands, in 2005 and a Ph.D. from the Department of Mathematics and Computer Science, Eindhoven University of Technology, The Netherlands, in 2009. Her Ph.D. research was carried out within the Probability, Networks and Algorithms Department of the Center for Mathematics and Computer Science (CWI) in Amsterdam, The Netherlands. She is a post-doc at the Basque Center for Applied Mathematics (BCAM), Spain. Her research interests are in the performance analysis of communication networks, scheduling, and queueing theory. Mulan X. Wang (“ Valuation of Storage at a Liquefied Natural Gas Terminal ”) is a quantitative analyst at DTE Energy Trading. Her responsibilities include natural gas structure deal pricing and statistical arbitrage modeling. Zizhuo Wang (“ A Unified Framework for Dynamic Prediction Market Design ”) is a Ph.D. student in the Department of Management Science and Engineering at Stanford University. His research interests include stochastic and robust optimization, information markets, and Internet economics. His advisor is Yinyu Ye. Sean P. Willems (“ Optimizing Strategic Safety Stock Placement in General Acyclic Networks ”) is associate professor of operations and technology management at Boston University's School of Management. His research focuses on supply chain design and optimization problems. Gerhard J. Woeginger (“ Charlemagne's Challenge: The Periodic Latency Problem ”) is a professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU Eindhoven). He is chair of the combinatorial optimization group at the TU Eindhoven. He received his Ph.D. at the TU Graz (Austria) in 1990 and has worked at the Free University Berlin, TU Graz, University of Twente, and since 2004 at TU Eindhoven. His research interests are in combinatorial optimization and complexity theory. Yanyi Xu (“ A Periodic-Review Base-Stock Inventory System with Sales Rejection ”) is an assistant professor of operations management at the School of Management, Shanghai University. He received a Ph.D. in operations management from Purdue University, an M.S. in management science from Fudan University, and a B.S. in transportation science and engineering from Tongji University. His research interests lie in the area of inventory management, supply chain management, and marketing-operations interface. Yi Yang (“ Sequential Convex Approximations to Joint Chance Constrained Programs: A Monte Carlo Approach ”) is a Ph.D. student in the Department of Computer Science at the University of California, Irvine. This paper is part of his M.Phil. thesis completed under the supervision of L. J. Hong at the Hong Kong University of Science and Technology. Yinyu Ye (“ A Unified Framework for Dynamic Prediction Market Design ”) is a professor of management science and engineering and is affiliated with the Institute of Computational and Mathematical Engineering of Stanford University. His current research interests include continuous and discrete optimization and operations research. Giacomo Zambelli (“ A Geometric Perspective on Lifting ”) is a research fellow at the University of Padua. He has a Ph.D. from the Tepper School of Business at Carnegie Mellon University. His research interests are in integer programming and combinatorial optimization. Liwei Zhang (“ Sequential Convex Approximations to Joint Chance Constrained Programs: A Monte Carlo Approach ”) is a professor at the School of Mathematical Sciences at Dalian University of Technology. He received his Ph.D. from Dalian University of Technology in 1998. His research interests include nonlinear programming, variational analysis and optimization, and stochastic programming. Zhichao Zheng (“ Mixed 0-1 Linear Programs Under Objective Uncertainty: A Completely Positive Representation ”) is a Ph.D. student in the Department of Decision Sciences at the NUS Business School, National University of Singapore. His research interests include the analysis and design of robust systems, decision making under uncertainty, and issues in supply chain management. Joe Zhu (“ Efficient Resource Allocation via Efficiency Bootstraps: An Application to R & D Project Budgeting ”) is professor of operations at the School of Business at Worcester Polytechnic Institute. He publishes extensively in journals such as Management Science, Operations Research, IIE Transactions, Naval Research Logistics, European Journal of Operational Research, Journal of the Operational Research Society, Annals of Operations Research, and the Journal of Portfolio Management. He is an author of several books and serves as an area editor for Omega.

Abstract: Shipra Agrawal (“ Price of Correlations in Stochastic Optimization ”) graduated from Stanford University with a Ph.D. in computer science under the supervision of Yinyu Ye. Her thesis explores the robustness of assuming statistical independence when solving optimization problems under uncertainty. Her research interests include algorithms, online and stochastic optimization, prediction markets, and algorithmic game theory. Augusto Aguayo (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) has a degree in mining engineering from the University of Chile. He is the director of engineering for underground projects at Codelco Andina Division. Frédéric Babonneau (“ Design and Operations of Gas Transmission Networks ”) is a scientific consultant in operations research for the company ORDECSYS. He received a Ph.D. in operations research from the University of Geneva and has made contributions in the optimization of nondifferentiable and large-scale models, in the optimization of transportation problems, and in robust optimization. Ning Cai (“ Pricing Asian Options Under a Hyper-Exponential Jump Diffusion Model ”) is an assistant professor in the Department of Industrial Engineering and Logistics Management at the Hong Kong University of Science and Technology. His research interests include financial engineering and applied probability. He received both M.S. and Ph.D. degrees in operations research in the Department of Industrial Engineering and Operations Research at Columbia University and both B.S. and M.S. degrees in probability and statistics in the School of Mathematical Sciences at Peking University. Raúl Cancino (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) has a degree in mining engineering from the University of Chile. He is director of engineering at Codelco North Division. Felipe Caro (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) is an assistant professor of decisions, operations, and technology management at the UCLA Anderson School of Management. He is interested in decisions made under uncertainty with a strong emphasis on practical applications. He holds a Ph.D. in operations management from Massachusetts Institute of Technology and earned an industrial engineering degree from the University of Chile. He has ongoing projects with his Chilean colleagues, now mostly in the retail sector. Jaime Catalán (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) is a computational engineer educated at the University of Chile with an MBA degree from ESADE, Barcelona. Since 1995, he has been working as an engineer in the design and implementation of several mathematical and computational systems, mainly in projects directed by Rafael Epstein. Hong Chen (“ Asymptotic Optimality of Balanced Routing ”) was Alumni Professor in Supply Chain Management at the Sauder School of Business, the University of British Columbia. He joined Shanghai Institute of Finance, Shanghai Jiaotong University, as a professor in August 2011. His research interests include modeling, optimization, and empirical analysis of manufacturing and service operations and supply chain management. Shaojie Deng (“ Sequential Importance Sampling and Resampling for Dynamic Portfolio Credit Risk ”) is an applied researcher at Microsoft. He obtained his Ph.D. in statistics at Stanford University in 2010. His research interests include rare-event simulation, sequential Monte Carlo, hidden Markov models and particle filters, quantitative finance, risk management, probability theory and stochastic processes, controlled experiment, and data mining on Web data. Yichuan Ding (“ Price of Correlations in Stochastic Optimization ”) is a fourth year Ph.D. candidate in the Department of Mangement Science and Engineering at Stanford University. He holds a B.S. from Zhejiang University and an M.Math from the University of Waterloo. His research is focused on operations research methodology and its application in healthcare management. Xuan Vinh Doan (“ On the Complexity of Non-Overlapping Multivariate Marginal Bounds for Probabilistic Combinatorial Optimization Problems ”) was a postdoctoral fellow in the Combinatorics and Optimization Department of the University of Waterloo, Canada. He joined the Operational Research and Management Sciences Group in Warwick Business School, UK, in September 2011 as an assistant professor. His research interests include optimization under uncertainty and sparse optimization. James S. Dyer (“ A Copulas-Based Approach to Modeling Dependence in Decision Trees ”) holds the Fondren Centennial Chair in Business in the McCombs School of Business at the University of Texas at Austin. He served as chair of the Department of Information, Risk, and Operations Management for nine years (1988–1997). He is the former Chair of the Decision Analysis Society of the Operations Research Society of America (now INFORMS). He received the Frank P. Ramsey Award for outstanding career achievements from the Decision Analysis Society of INFORMS in 2002. He was named a Fellow of INFORMS in 2006 and also received the MCDM Society's Edgeworth-Pareto Award in 2006. His research interests include the valuation of risky investment decisions and risk management. Faramroze G. Engineer (“ A Branch-Price-and-Cut Algorithm for Single-Product Maritime Inventory Routing ”) is a lecturer at the University of Newcastle, Australia. His research interests include the development and application of optimization methods to solve problems in logistics and supply chain management, transportation, network design, and healthcare. He participated in this research project while he was a Ph.D. student in the School of Industrial and Systems Engineering at Georgia Institute of Technology. Rafael Epstein (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) is an associate professor at the Industrial Engineering Department of the University of Chile. His research interests include applications of operations research in the areas of forestry, mining, logistics, and combinatorial auctions. He is a former winner of the INFORMS Edelman Award for Achievement in Operations Research and the Management Sciences for work with the forest industries and the IFORS OR for Development Prize for the improvement of the auction of school meals in Chile. Peter I. Frazier (“ The Knowledge Gradient Algorithm for a General Class of Online Learning Problems ”) is an assistant professor in the School of Operations Research and Information Engineering at Cornell University. He received a Ph.D. in operations research and financial engineering from Princeton University in 2009. In 2010 he received the AFOSR Young Investigator Award. His research interest is in the optimal acquisition of information with applications in simulation, medicine, and operations management. Kevin C. Furman (“ A Branch-Price-and-Cut Algorithm for Single-Product Maritime Inventory Routing ”) has led programs and teams related to optimization and logistics research and software application development across multiple ExxonMobil affiliates. He received his Ph.D. in chemical engineering from the University of Illinois at Urbana–Champaign. His nine years at ExxonMobil have been focused on research, development, and leadership in the areas of operations research and process systems engineering. Sergio Gaete (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) has a degree in mathematical engineering from the University of Chile. He is director of business plan development at El Teniente, Codelco. Kay Giesecke (“ Sequential Importance Sampling and Resampling for Dynamic Portfolio Credit Risk ”) is assistant professor of management science and engineering at Stanford University. His research interests include stochastic simulation, stochastic modeling, approximation algorithms, stochastic processes, inference and hypothesis testing for stochastic processes and applications in financial engineering, including derivatives pricing and hedging, and risk management. Peter W. Glynn (“ Consistency of Multidimensional Convex Regression ”) is the Thomas Ford Professor of Engineering in the Department of Management Science and Engineering at Stanford University, and also holds a courtesy appointment in the Department of Electrical Engineering. He was Director of Stanford's Institute for Computational and Mathematical Engineering from 2006 until 2010. He is a Fellow of INFORMS, a Fellow of the Institute of Mathematical Statistics, has been cowinner of Best Publication Awards from the INFORMS Simulation Society in 1993 and 2008, was a cowinner of the Best (Biannual) Publication Award from the INFORMS Applied Probability Society in 2009, and was the cowinner of the John von Neumann Theory Prize from INFORMS in 2010. His research interests lie in computational probability, queuing theory, statistical inference for stochastic processes, and stochastic modeling. Marcel Goic (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) is an assistant professor at the Industrial Engineering Department of the University of Chile. He received a Ph.D. in industrial administration from the Tepper School of Business, Carnegie Mellon University. His research interests include database marketing, decision support systems, and retail management, with a focus on pricing, assortment, and promotion decisions. Boaz Golany (“ Network Optimization Models for Resource Allocation in Developing Military Countermeasures ”) is the Dean of the Faculty of Industrial Engineering and Management (IE & M) and the holder of the Samuel Gorney Chair in Engineering at the Technion–Israel Institute of Technology. He has a B.Sc. (summa cum laude) in IE & M from the Technion (1982) and a Ph.D. from the McCombs School of Business at the University of Texas at Austin (1985). He has served as an area editor and member of the editorial board for the Journal of Productivity Analysis, IIE Transactions, Omega, and Operations Research. He has published over 80 papers in refereed journals and over 15 book chapters. His publications are in the areas of industrial engineering, operations research, and management science. He has served as a consultant to various companies and agencies in Israel and the U.S. including governmental agencies (in the areas of transportation, education and defense); energy companies (oil, electricity); financial sector (banks); manufacturing (plastics, consumer goods, measurement devices); services (food chains); and information technologies (Internet platforms). Anupam Gupta (“ Approximation Algorithms for VRP with Stochastic Demands ”) is an associate professor in the Computer Science Department at Carnegie Mellon University. He received the B.Tech degree in computer science from Indian Institute of Technology, Kanpur, in 1996, and his Ph.D. in computer science from the University of California, Berkeley, in 2000. He spent two years at Lucent Bell Labs in Murray Hill, New Jersey, before joining Carnegie Mellon University in 2003. His research interests are in the area of theoretical computer science, primarily in developing approximation algorithms for NP-hard optimization problems and understanding the algorithmic properties of metric spaces. He is the recipient of an Alfred P. Sloan Research Fellowship and the NSF CAREER award. Simai He (“ Polymatroid Optimization, Submodularity, and Joint Replenishment Games ”) is an assistant professor at the Department of Management Sciences, City University of Hong Kong. His research interests include optimization, algorithm design and analysis, and game theory. Yuval Heller (“ Sequential Correlated Equilibria in Stopping Games ”) is a Ph.D. candidate in the Department of Statistics and Operations Research at Tel Aviv University. His research interests are in the areas of game theory, microeconomic theory, and decision theory. Steven Kou (“ Pricing Asian Options Under a Hyper-Exponential Jump Diffusion Model ”) is a professor in the Department of Industrial Engineering and Operations Research at Columbia University. Prior to joining Columbia in 1998, he taught at Rutgers University and the University of Michigan. His research interests include financial engineering and applied probability. He was awarded the Erlang Prize by the Applied Probability Society of INFORMS in 2002. Moshe Kress (“ Network Optimization Models for Resource Allocation in Developing Military Countermeasures ”) is professor of operations research at the Naval Postgraduate School (NPS), where he teaches and conducts research in combat modeling and related areas. His current research interests are counterinsurgency modeling, sensor deployment and operations, homeland security problems, and UAV employment in IW situations. His research has been sponsored by DARPA, ONR, USSOCOM, JIEDDO, and TRADOC. He is the Military and Homeland Security Editor of the OR flagship journal Operations Research. He published four books (one of which has been translated into Hebrew and Korean) and over 65 papers in refereed journals. He has been awarded twice the Koopman Prize for military operations research (2005 and 2009) and the 2009 MOR Journal Award. Prior to joining NPS, he was a senior analyst at the Center for Military Analyses in Israel and an adjunct professor at the Technion–Israel Institute of Technology. Tze Leung Lai (“ Sequential Importance Sampling and Resampling for Dynamic Portfolio Credit Risk ”) is professor of statistics at Stanford University. His present research areas include sequential experimentation, adaptive design and control, stochastic optimization, time series analysis and forecasting, change-point detection, hidden Markov models and particle filters, empirical Bayes modeling, multivariate survival analysis, probability theory and stochastic processes, biostatistics, econometrics, quantitative finance, and risk management. His methodological research in these areas has been motivated by and is closely related to his applied interests in engineering, finance, and the biomedical sciences. As director of the Financial Mathematics Program and codirector of the Biostatistics Core at the Stanford Cancer Center, he is involved in several research projects in these fields. Eunji Lim (“ Consistency of Multidimensional Convex Regression ”) is an assistant professor in the Department of Industrial Engineering at the University of Miami. Her research interests include function estimation under shape restrictions, simulation optimization, and stochastic modeling. Johan Marklund (“ Lower Bounds and Heuristics for Supply Chain Stock Allocation ”) is professor of production management at Lund University, Sweden. Previously he held positions at the Leeds School of Business, University of Colorado, Boulder, and the Boston Consulting Group. He holds degrees from Linköping University (M.Sc.) and Lund University (B.Sc. and Ph.D.). His research interests include inventory theory, supply chain management, and logistics, with a special focus on stochastic multiechelon inventory problems. Viswanath Nagarajan (“ Approximation Algorithms for VRP with Stochastic Demands ”) is a research staff member in mathematical sciences at the IBM T. J. Watson Research Center. He received a bachelor's degree in computer science from Indian Institute of Technology, Bombay, and a Ph.D. in algorithms, combinatorics, and optimization from Carnegie Mellon University. His research interests are in combinatorial optimization and approximation algorithms, particularly as applied to vehicle routing, network design, and scheduling. Karthik Natarajan (“ On the Complexity of Nonoverlapping Multivariate Marginal Bounds for Probabilistic Combinatorial Optimization Problems ”) is an associate professor at the Department of Management Sciences, City University of Hong Kong. His primary research interest is in optimization under uncertainty, and this paper forms part of this area of work. George L. Nemhauser (“ A Branch-Price-and-Cut Algorithm for Single-Product Maritime Inventory Routing ”) is an Institute Professor and the Chandler Professor in the School of Industrial and Systems Engineering at Georgia Institute of Technology. His research interests are in integer programming and its applications. His participation in this paper resulted from a research project funded by a large oil company. Yurii Nesterov (“ Design and Operations of Gas Transmission Networks ”) is professor at the Center for Operations Research and Econometrics (CORE), Catholic University of Louvain, Belgium. He is the author of four monographs and more than 70 refereed papers in the leading optimization journals. He is the winner of the triennial Dantzig Prize 2000 awarded by SIAM and the Mathematical Programming Society for research having a major impact on the field of mathematical programming. In 2009 he was awarded the John von Neumann Theory Prize by INFORMS. The main direction of his research is the development of efficient numerical methods for convex and nonconvex optimization problems supported by global complexity analysis. The most important results are obtained for general interior-point methods (theory of self-concordant functions), fast gradient methods (smoothing technique), and global complexity analysis of the second-order schemes (cubic regularization of the Newton's method). Michal Penn (“ Network Optimization Models for Resource Allocation in Developing Military Countermeasures ”) is a professor in the Faculty of Industrial Engineering and Management (IE & M) at the Technion–Israel Institute of Technology. She has a B.A. in mathematics and statistics from the Hebrew University of Jerusalem (1975), and M.Sc. (1982) and Ph.D. (1988) in operations research from IE & M at the Technion. Her interests are in discrete and combinatorial optimization, mainly in scheduling, routing, and algorithmic game theory. Her research was supported by the Israel Ministry of Science, Gordon Center, GIF, TASP, and others. She also serves as the president of the Operations Research Society of Israel (ORSIS). She has published over 40 papers in refereed journals and supervised 25 students towards master’s and doctoral degrees. Warren B. Powell (“ The Knowledge Gradient Algorithm for a General Class of Online Learning Problems ”) is a professor in the Department of Operations Research and Financial Engineering at Princeton University and director of CASTLE Laboratory. He has coauthored over 150 refereed publications in stochastic optimization, stochastic resource allocation, and related applications. He is the author of the book Approximate Dynamic Programming: Solving the Curses of Dimensionality, published by John Wiley & Sons. He is involved in applications in energy, transportation, finance, and homeland security. R. Ravi (“ Approximation Algorithms for VRP with Stochastic Demand ”) is Carnegie Bosch Professor of Operations Research and Computer Science at Carnegie Mellon University. He earned his bachelor's degree from the Indian Institute of Management, Madras, and master's and doctoral degrees from Brown University, all in computer science. He has been at the Tepper School of Business since 1995 where he served as Associate Dean for Intellectual Strategy from 2005–2008. His main research interests are in combinatorial optimization (particularly in approximation algorithms), computational molecular biology, and electronic commerce. He serves on the editorial boards of Management Science and the ACM Transactions on Algorithms. Kaj Rosling (“ Lower Bounds and Heuristics for Supply Chain Stock Allocation ”) is professor of production economics at Linnæus University, Sweden. He holds M.Sc. and Ph.D. degrees from University of California, Berkeley, and Linköping University, Sweden, respectively. His major publications appear in Management Science and Operations Research. He has served as associate editor for Management Science and Manufacturing & Service Operations Management, and he serves presently for Operations Research and Naval Research Logistics. Supply chain management is his primary research interest. Uriel G. Rothblum (“ Network Optimization Models for Resource Allocation in Developing Military Countermeasures ”) is a professor of operations research at the Faculty of Industrial Engineering and Management of the Technion in Haifa, Israel, holding the Alexander Goldberg Chair in Management Science. He earned his bachelor’s and master’s degrees in mathematics at Tel Aviv University (in 1969 and 1971, respectively) and his Ph.D. in the Department of Operations Research at Stanford University (in 1974). His research interests focus on the identification of properties of optimal solutions/policies in a variety of (structured) optimization problems and the insight such result offers in the design of algorithms that solve these problems. He has published over 150 papers in refereed journals and over 20 publications in edited volumes. He joined the Technion in 1984 and served as Dean of the Faculty of Industrial Engineering and Management (1992–1995), Deputy Provost (1998–2000), and Vice President for Academic Affairs (2000–2002). He served as the president of the Operations Research Society of Israel (2006–2008) and was elected an INFORMS Fellow in 2003 (in the first elected cohort). He has served on the editorial boards of Linear Algebra and Its Applications (1982–present), Mathematics of Operations Research (1979–2008), Operations Research (1996–1999), SIAM Journal on Matrix Analysis and Applications (1988–1993), SIAM Journal on Algebraic and Discrete Mathematics (1983–1987), and Letters in Linear Algebra and Its Applications (1980–1981). Since 2009, he has been editor in chief of Mathematics of Operations Research. Ilya O. Ryzhov (“ The Knowledge Gradient Algorithm for a General Class of Online Learning Problems ”) is an assistant professor in the Robert H. Smith School of Business at the University of Maryland. He received a Ph.D. in operations research and financial engineering from Princeton University in 2011. His research seeks to bridge the gap between optimal learning and stochastic optimization by developing efficient decision-making strategies for many broad classes of optimization problems, and incorporating optimal learning concepts into fundamental operations research models such as network problems, linear programs, and Markov decision processes. Amin Saberi (“ Price of Correlations in Stochastic Optimization ”) is an assistant professor at Stanford University. He received his B.Sc. in computer science from Sharif Institute of Technology in 2000 and his Ph.D. in computer science from Georgia Institute of Technology in 2004. His research interests include algorithms, and algorithmic aspects of games, markets, and information networks. Pablo Santibáñez (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) is an operations research scientist at the British Columbia Cancer Agency. His work is focused on applications in operations and strategic planning, especially in healthcare. He received his B.S. and industrial engineering degrees from the University of Chile, and his master’s in operations research from the University of British Columbia. The paper in this issue is part of the author's work in the mining sector. Martin W. P. Savelsbergh (“ A Branch-Price-and-Cut Algorithm for Single-Product Maritime Inventory Routing ”) leads the business and services analytics research program at CSIRO Mathematics Informatics and Statistics. His research interests are in discrete optimization and transportation and logistics. He participated in this research project while he was Schneider Professor in the School of Industrial and Systems Engineering at Georgia Institute of Technology before moving to Australia in 2010. Jin-Hwa Song (“ A Branch-Price-and-Cut Algorithm for Single-Product Maritime Inventory Routing ”) received his Ph.D. from the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. At ExxonMobil, he has worked on various projects related to optimization and decision science, as well as science-build research programs with several universities. John Turner (“ The Planning of Guaranteed Targeted Display Advertising ”) is an assistant professor of operations and decision technologies at the Paul Merage School of Business, University of California at Irvine. His research interests include advertising planning, media management, applied optimization, revenue management, and problems that lie at the interface of operations and marketing. Rodolfo Urrutia (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) is an industrial engineer from the University of Chile with a master’s in management and globalization from the same university. As part of his graduate degree, he spent six months at the University of South Wales in Australia. He is a full-time researcher working on operations research models applied to mining problems. Jean-Philippe Vial (“ Design and Operations of Gas Transmission Networks ”) is Emeritus Professor in Operations Research. He has been professor at the Catholic University of Louvain (Belgium), the University Louis Pasteur in Strasbourg (France), and the University of Geneva (Switzerland). He has contributed in optimization methods, logistics, and environmental assessments modeling. He holds a Ph.D. in operations research (Louvain) and a Doctorat d'Etat in Mathematics (Paris). Tianyang Wang (“ A Copulas-Based Approach to Modeling Dependence in Decision Trees ”) is an assistant professor in the Department of Finance and Real Estate at Colorado State University. He earned his Ph.D. from the University of Texas at Austin and is an Associate of the Society of Actuaries. His research is primarily in real options valuation, modeling multivariate uncertainties, enterprise risk management, and quantitative methods in financial risk management. He was finalist in the Decision Analysis Society student paper competition in 2009 and 2010. He has received research funds from the Center for Petroleum Asset Risk Management at the University of Texas at Austin. Andrés Weintraub (“ Optimizing Long-Term Production Plans in Underground and Open-Pit Copper Mines ”) is a professor in the Industrial Engineering Department of the University of Chile. His research interests include operations research in the areas of forestry and mining, logistics, and applied combinatorics. He is a former winner of the INFORMS Edelman Award for Achievement in Operations Research and the Management Sciences for work with forest industries. He served as INFORMS vice president for education and outreach. Heng-Qing Ye (“ Asymptotic Optimality of Balanced Routing ”) is an associate professor in the Department of Logistics and Maritime Studies at the Faculty of Business, the Hong Kong Polytechnic University. His research interests include the modeling and analysis of stochastic network and maritime studies. Yinyu Ye (“ Price of Correlations in Stochastic Optimization ”) is professor of management science and engineering, Stanford University. He holds a Ph.D. in engineering economic systems and operations research from Stanford University. He is the recipient or corecipient of numerous international and national awards, including the 2009 INFORMS John von Neumann Theory Prize for fundamental sustained contributions to theory in operations research and the management sciences. Jiawei Zhang (“ Polymatroid Optimization, Submodularity, and Joint Replenishment Games ”) is an associate professor of operations management at the Stern School of Business, New York University. His research interests include approximation algorithms, deterministic and stochastic optimization, logistics and supply chain management, and production planning and scheduling. Shuzhong Zhang (“ Polymatroid Optimization, Submodularity, and Joint Replenishment Games ”) is a professor in the Industrial and Systems Engineering Program, University of Minnesota. He is on leave from the Department of Systems Engineering & Engineering Management, Chinese University of Hong Kong. His research interests include optimization techniques, approximation algorithms, and risk analysis.

Abstract: Roberto Baldacci (“ An Exact Algorithm for the Pickup and Delivery Problem with Time Windows ”) is a researcher in operations research at the Department of Electronics, Computer Science, and Systems (DEIS) of the University of Bologna, Italy. His major research interests are in the areas of transportation planning, logistics and distribution, and the solution of vehicle routing and scheduling problems over street networks. His research activities are in the theory and applications of mathematical programming including the design of new heuristic and exact methods for solving routing and location problems. Enrico Bartolini (“ An Exact Algorithm for the Pickup and Delivery Problem with Time Windows ”) holds a postdoctoral position at the University of Bologna. His research activity concerns the study and development of heuristic and exact algorithms for solving combinatorial optimization problems with applications in logistics and distribution systems, in particular network design problems and some generalizations of the vehicle routing problem. Saif Benjaafar (“ Optimal Control of an Assembly System with Multiple Stages and Multiple Demand Classes ”) is professor of industrial and systems engineering at the University of Minnesota, where he is also founding and current director of the Industrial & Systems Engineering Program, director of the Center for Supply Chain Research, and a faculty scholar with the Center for Transportation Studies. He was a Distinguished Senior Visiting Scientist at Honeywell Laboratories and a visiting professor at universities in France, Belgium, Hong Kong, China, and Singapore. His research is in the areas of supply chain management, service and manufacturing operations, and production and inventory systems, with a current focus on sustainability and environmental modeling. He serves on the editorial board of several journals including Manufacturing & Service Operations Management, Production and Operations Management, Naval Research Logistics, and IIE Transactions. He is a Fellow of the Institute of Industrial Engineers (IIE). Dimitris Bertsimas (“ Performance Analysis of Queueing Networks via Robust Optimization ”) is the Boeing Professor of Operations Research and codirector of the Operations Research Center at the Massachusetts Institute of Technology. This research is part of his work in the last decade on robust optimization for optimization and performance analysis of stochastic systems. Atul Bhandari (“ Revenue Management with Bargaining ”) is manager of the Algorithms Team at SmartOps. He supervises the design and development of enterprise inventory optimization algorithms, supervises modeling and analysis support for sales and implementation efforts, and leads educational sessions. He earned a Ph.D. in operations research from the Carnegie Mellon University Tepper School of Business. Sushil Bikhchandani (“ An Ascending Vickrey Auction for Selling Bases of a Matroid ”) is professor of decisions, operations, and technology management at the Anderson School of Management at the University of California, Los Angeles. He is interested in the economics of incentives and its application to auctions, market institutions, and social learning. J. Paul Brooks (“ Support Vector Machines with the Ramp Loss and the Hard Margin Loss ”) is an assistant professor of operations research in the Department of Statistical Sciences and Operations Research and a fellow of the Center for Study of Biological Complexity, Virginia Commonwealth University. He is currently secretary/treasurer of the INFORMS Section on Data Mining. His research interests include the design of optimization-based algorithms for data mining and their application to biomedical data. He is also interested in applications of optimization to models of cellular metabolism and network design problems. Sungyong Choi (“ A Multiproduct Risk-Averse Newsvendor with Law-Invariant Coherent Measures of Risk ”) is an instructor in the Department of Management Science and Information Systems at Rutgers University. Dr. Choi's research interests are in the area of stochastic modeling and its application in supply chain management. Milind Dawande (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ” and “ Quantifying the Impact of Layout on Productivity: An Analysis from Robotic-Cell Manufacturing ”) is professor and area coordinator of operations management at the School of Management, University of Texas at Dallas. His research interests are in discrete optimization problems in manufacturing and operations. His papers have appeared in a number of research outlets, including Operations Research, Management Science, Manufacturing & Service Operations Management, and the INFORMS Journal on Computing. Mehmet Demirci (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ”) is a supply chain sales engineer at SmartOps. He holds a Ph.D. degree in industrial engineering from the University of Pittsburgh. His research interests include inventory optimization, operations management, large-scale combinatorial optimization, and operations research applications in health care. Sven de Vries (“ An Ascending Vickrey Auction for Selling Bases of a Matroid ”) is a professor of operations research in the Department of Mathematics at the Universität Trier. His research interests include combinatorial optimization and auctions. Xiaowei Ding (“ A Top-Down Approach to Multiname Credit ”) is an associate at Morgan Stanley's Commodity Trading Group. Mohsen ElHafsi (“ Optimal Control of an Assembly System with Multiple Stages and Multiple Demand Classes ”) is a professor at the Anderson Graduate School of Management at the University of California, Riverside, where he also serves as associate dean and graduate advisor. He holds Ph.D. and M.Sc. degrees from the Industrial and Systems Engineering Department at the University of Florida and was the Honor Graduate. He received the Qualified Engineer degree, with honors, from the Ecole Nationale d'Ingénieurs de Tunis, Tunisia. His area of research includes operations and supply chain management, manufacturing and service operations, and production and inventory systems. Amr Farahat (“ A Comparison of Bertrand and Cournot Profits in Oligopolies with Differentiated Products ”) is an assistant professor at the Johnson Graduate School of Management at Cornell University. He obtained his doctoral degree in operations research from the Massachusetts Institute of Technology. His current research focuses on differentiated product pricing, inventory management, and competition. He is interested in problems at the interface of operations management, economics, and marketing. Vivek F. Farias (“ The Irrevocable Multiarmed Bandit Problem ”) is the Robert N. Noyce Career Development Assistant Professor of Management at the Sloan School of Management and the Operations Research Center at the Massachusetts Institute of Technology. His research focuses on revenue management, dynamic optimization, and the analysis of complex stochastic systems. The paper in this issue is part of the author's research in the context of dynamic optimization. David Gamarnik (“ Performance Analysis of Queueing Networks via Robust Optimization ”) is an associate professor of operations research at the Sloan School of Management of the Massachusetts Institute of Technology. His research interests include applied probability and stochastic processes, theory of random combinatorial structures and algorithms, and various applications. He currently serves as an associate editor of Annals of Applied Probability, Operations Research, Mathematics of Operations Research, and queueing systems journals. Srinagesh Gavirneni (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ”) is an assistant professor of operations management in the Johnson Graduate School of Management at Cornell University. His research interests are in the areas of supply chain management, inventory control, production scheduling, simulation, and optimization. His papers have appeared in Management Science, Manufacturing & Service Operations Management, Operations Research, European Journal of Operational Research, Operations Research Letters, IIE Transactions, and Interfaces. Previously he was an assistant professor in the Kelley School of Business at Indiana University, the chief algorithm design engineer of SmartOps, a software architect at Maxager Technology Inc., and a research scientist with Schlumberger. His undergraduate degree from IIT-Madras is in mechanical engineering, and he received an M.Sc. from Iowa State University and a Ph.D. from Carnegie Mellon University. Kay Giesecke (“ A Top-Down Approach to Multiname Credit ”) is assistant professor of management science and engineering at Stanford University. His research and teaching interests are in financial engineering. Lisa R. Goldberg (“ A Top-Down Approach to Multiname Credit ”) is executive director of analytic initiatives at MSCI Barra with responsibility for developing and prototyping financial risk and valuation models. Randolph W. Hall (“ Discounted Robust Stochastic Games and an Application to Queueing Control ”) is vice president of research, and professor of industrial and systems engineering, at the University of Southern California. After receiving a Ph.D. in civil engineering from the University of California, Berkeley, he has held research and faculty positions at General Motors, the University of California, Berkeley, and the University of Southern California, including directing the METRANS and CREATE research centers. He is the author of Queueing Methods for Services and Manufacturing, editor for the Handbook of Transportation Science and Patient Flow: Reducing Delay in Healthcare Delivery, and is preparing a book on scheduling in health care. Erim Kardeş (“ Discounted Robust Stochastic Games and an Application to Queueing Control ”) received his Ph.D. in industrial and systems engineering from the University of Southern California in 2007. His research interests are in the areas of probability models with optimization applications, Markov decision processes, stochastic games, robust optimization, and their applications in optimization in queues, production/inventory control, and in security domains. He has recently been interested in health-care applications. Sunkyo Kim (“ Modeling Cross Correlation in Three-Moment Four-Parameter Decomposition Approximation of Queueing Networks ”) is an associate professor in the School of Business at Ajou University, Suwon, Republic of Korea. His research focuses on the decomposition approximation of queueing networks. He received a B.A. in business and an M.B.A. from Seoul National University, an M.S. in applied mathematics from the University of Illinois at Urbana–Champaign, an M.S. in industrial engineering from the University of California, Berkeley, and a Ph.D. in industrial engineering from Purdue University. Ayşe Kocabıyıkoğlu (“ An Elasticity Approach to the Newsvendor with Price Sensitive Demand ”) is an assistant professor in the Department of Management at Bilkent University. She received her Ph.D. in decision sciences from INSEAD in 2005. Her research interests include pricing and revenue management, dynamic decision making under uncertainty, and behavioral operations management. Chung-Yee Lee (“ Optimal Control of an Assembly System with Multiple Stages and Multiple Demand Classes ”) is Chair Professor of the Industrial Engineering and Logistics Management Department at the Hong Kong University of Science and Technology (HKUST). He served as department head at HKUST for seven years. He is also the founding and current director of the Logistics and Supply Chain Management Institute at HKUST. He is a Fellow of the Institute of Industrial Engineers in the United States and also a Fellow of the Hong Kong Academy of Engineering Science. Before joining HKUST in 2001, he was Rockwell Chair Professor in the Department of Industrial Engineering at Texas A & M University. His research areas are in logistics and supply chain management, scheduling, and inventory management. Ritesh Madan (“ The Irrevocable Multiarmed Bandit Problem ”) is staff engineer at the Qualcomm New Jersey Research Center (NJRC), Bridgewater, New Jersey. His current work is on emerging 4G cellular networks and includes contributions to standards and design of algorithms and architectures for products. His research interests include fast and distributed algorithms for resource allocation in cellular networks. Mili Mehrotra (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ”) is a doctoral student in operations management at the School of Management, University of Texas at Dallas. Her research interests are in supply chain management. In particular, her work focuses on applying discrete optimization techniques to problems in both manufacturing and service operations management. Her papers have been accepted for publication in Management Science, Operations Research, and Production and Operations Management. Aristide Mingozzi (“ An Exact Algorithm for the Pickup and Delivery Problem with Time Windows ”) is a professor of operations research in the Department of Mathematics at the University of Bologna, Italy. His main interests include mathematical programming, combinatorial optimization, graph theory, dynamic programming, and the development of exact and heuristic algorithms for the solution of real-life problems in distribution and scheduling. W. Ross Morrow (“ Fixed-Point Approaches to Computing Bertrand-Nash Equilibrium Prices Under Mixed-Logit Demand ”) is an assistant professor in mechanical engineering and economics at Iowa State University. He received his Ph.D. in mechanical engineering from the University of Michigan, Ann Arbor, in 2008. During 2008–2009 he was a research fellow at the Belfer Center for Science and International Affairs at Harvard's Kennedy School. His research focuses on mathematical models and numerical methods for large-scale, complex energy and environmental policy models. Fernando Ordóñez (“ Discounted Robust Stochastic Games and an Application to Queueing Control ”) is an associate professor in the Industrial and Systems Engineering Department at the University of Southern California, currently on leave at the Industrial Engineering Department of the University of Chile. His research focuses on convex and robust optimization, complexity of algorithms, sensitivity analysis, and applications of optimization to engineering and management science. He received his B.S. and mathematical engineering degrees from the University of Chile in 1996 and 1997, respectively, and his Ph.D. in operations research from the Massachusetts Institute of Technology in 2002. Melda Ormeci Matoglu (“ Drift Control with Changeover Costs ”) earned her Ph.D. in industrial engineering at Georgia Institute of Technology in 2006. Her thesis, “Inventory Control in a Build-to-Order Environment,” was awarded second place at the George B. Dantzig Dissertation Award. Her research interests span both fields of optimization and stochastic control, with applications mainly within the areas of supply chain management and logistics. Her work covers theoretical problems dealing with optimal stochastic control of Brownian motion along with practical applications of these problems with companies like BMW. Georgia Perakis (“ A Comparison of Bertrand and Cournot Profits in Oligopolies with Differentiated Products ”) is the William F. Pounds Professor at the Sloan School of Management at the Massachusetts Institute of Technology. She joined the faculty at Sloan in 1998. She received an M.S. degree and a Ph.D. in applied mathematics from Brown University. Her research interests include applications of optimization and equilibrium in revenue management, pricing, competitive supply chain management, and transportation. She has published widely in journals such as Operations Research, Management Science, Mathematics of Operations Research, and Mathematical Programming. Ioana Popescu (“ An Elasticity Approach to the Newsvendor with Price Sensitive Demand ”) is the Booz & Company Professor in Revenue Management and associate professor of decision sciences at INSEAD. Her main research and teaching interests are in the area of pricing and revenue management. Tharanga Rajapakshe (“ Quantifying the Impact of Layout on Productivity: An Analysis from Robotic-Cell Manufacturing ”) is a doctoral student in operations management at the School of Management, University of Texas at Dallas. Her research interests are in supply chain management, green supply chains, and logistics. She is a member of INFORMS, POMS, and DSI. Her papers have been accepted for publication in Operations Research and Production and Operations Management. Alexander Anatoliy Rikun (“ Performance Analysis of Queueing Networks via Robust Optimization ”) is a Ph.D. candidate in the Operations Research Center at the Massachusetts Institute of Technology. He earned his B.S. in applied mathematics from Columbia University in 2005. His research interests are in robust optimization, queueing theory, and supply chain management. The paper in this issue is part of his Ph.D. thesis under the supervision of Dimitris Bertsimas and David Gamarnik at the Massachusetts Institute of Technology. Robin O. Roundy (“ Multidimensional Approximation Algorithms for Capacity-Expansion Problems ”) graduated magna cum laude from Brigham Young University. He received the Orson Pratt Award, which is given annually to the outstanding mathematics graduate. He then studied operations research at Stanford University, where he received his doctorate in 1984. In that same year, he won the Nicholson Student Paper Competition, sponsored by the Operations Research Society of America (ORSA). In 1985, he received a Presidential Young Investigator Award from the National Science Foundation. In 1988 he received the Fredrick W. Lanchester Prize from ORSA for the best paper of the year on operations research. He is the author of one of Management Science's 50 Most Influential Papers (2004). He is a two-time recipient of the S. Yau '72 Excellence in Teaching Award and has won other teaching awards as well. Andrzej Ruszczyński (“ A Multiproduct Risk-Averse Newsvendor with Law-Invariant Coherent Measures of Risk ”) is a professor in the Department of Management Science and Information Systems at Rutgers University. His interests are in the area of stochastic programming, where he initiated research on risk-averse optimization. He is an author of several books and numerous articles in the field of optimization. James Schummer (“ An Ascending Vickrey Auction for Selling Bases of a Matroid ”) is associate professor of managerial economics and decision sciences at the Kellogg School of Management, Northwestern University. His interests include dominant strategy mechanism design, voting, signaling, and auctions. Nicola Secomandi (“ Revenue Management with Bargaining ”) is an associate professor of operations management at the Carnegie Mellon University Tepper School of Business. His research interests include real options in the energy and commodity industries, the interface between operations and finance, revenue and supply chain management, and logistics under uncertainty. Steven J. Skerlos (“ Fixed-Point Approaches to Computing Bertrand-Nash Equilibrium Prices Under Mixed-Logit Demand ”) is an associate professor of mechanical engineering at the University of Michigan, Ann Arbor. He attended the University of Illinois at Urbana–Champaign, where he received a B.S. in electrical engineering (with highest honors) in 1994 and a Ph.D. in industrial engineering in 2000. His research interests are environmental technology policy, the design of “green” products and manufacturing systems, and the development of sustainable water systems. Chelliah Sriskandarajah (“ Quantifying the Impact of Layout on Productivity: An Analysis from Robotic-Cell Manufacturing ”) is a professor of operations management and holds the Ashbel Smith Chair at the School of Management of the University of Texas at Dallas. His research revolves around solving various production planning and scheduling problems with the aim of making the production process more economical and efficient. His research interests lie in the general area of production planning and scheduling, supply chain management, and performance evaluation of production systems. Sridhar Tayur (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ”) is the Ford Distinguished Research Professor of Manufacturing and Operations Management at the Tepper School of Business at Carnegie Mellon University, as well as the founder and CEO of SmartOps Corporation. The article in this issue is part of his research and practice agendas in creating scalable enterprise analytic software using appropriate operations research to be part of the IT infrastructure for ongoing use at Global 2000 companies to improve their supply chain capabilities and performance. Van-Anh Truong (“ Multidimensional Approximation Algorithms for Capacity-Expansion Problems ”) is a quantitative researcher at Google, Mountain View, California. She obtained her doctoral degree in operations research from Cornell University. She works in the area of stochastic capacity planning and inventory theory and has published in Operations Research and Mathematical Programming. John Vande Vate (“ Drift Control with Changeover Costs ”) is the founder and executive director of Georgia Institute of Technology's Executive Master's in International Logistics and Supply Chain Strategy (EMIL-SCS) program. He has spent the last few years focused on finding practical ways to extend the power of optimization techniques to address challenges of managing variability and risk in supply chain management and logistics. Rakesh V. Vohra (“ An Ascending Vickrey Auction for Selling Bases of a Matroid ”) is the John L. and Helen Kellogg Professor of Managerial Economics and Decision Sciences, at the Kellogg School of Management, Northwestern University. His interests include auction theory, pricing, and game theory. Yikun Yu (“ Optimal Product Acquisition, Pricing, and Inventory Management for Systems with Remanufacturing ”) received his B.S. in mathematical science from Tsinghua University, China, in 2006 and his M.Phil. in systems engineering and engineering management from the Chinese University of Hong Kong in 2008. He is serving as senior associate in the Department of Investment Banking, CITIC Securities Company Limited and has been involved in several IPO projects since he joined the company. Yao Zhao (“ A Multiproduct Risk-Averse Newsvendor with Law-Invariant Coherent Measures of Risk ”) is an associate professor in the Department of Supply Chain Management and Marketing Sciences at Rutgers University. This paper is part of a general research interest in risk management of multi-item and multistage inventory systems. Sean X. Zhou (“ Optimal Product Acquisition, Pricing, and Inventory Management for Systems with Remanufacturing ”) is an assistant professor in the Systems Engineering and Engineering Management Department at the Chinese University of Hong Kong. He received his B.S. in electrical engineering from Zhejiang University, China in 2001 and his master's and Ph.D. in operations research from North Carolina State University in 2002 and 2006, respectively. His main research area is supply chain management and specifically inventory theory, production planning, pricing, and game theoretic applications. Weihua Zhou (“ Optimal Control of an Assembly System with Multiple Stages and Multiple Demand Classes ”) is associate professor in the Department of Management Science and Engineering at Zhejiang University, China. He received his M.S. degree in applied mathematics from Zhejiang University, and his Ph.D. degree from the Department of Industrial Engineering and Logistic Management at Hong Kong University of Science and Technology, China. His research interests include supply chain and inventory management and port terminal optimization.

Abstract: Rami Atar (“ The cμ/θ Rule for Many-Server Queues with Abandonment ”) is an associate professor in the Department of Electrical Engineering, Technion, Israel, where he received his Ph.D. in 1997. His research interests are in stochastic processes and their applications, including PDE techniques in stochastic control, and asymptotic analysis of queueing models. Achal Bassamboo (“ On the Accuracy of Fluid Models for Capacity Sizing in Queueing Systems with Impatient Customers ”) is an associate professor of managerial economics and decision sciences in the Kellogg School of Management at Northwestern University. His research focuses on using stochastic models to manage service operations, flexibility in service and production systems, and on strategic information sharing in services and retail. Tamer Boyacı (“ Information Acquisition for Capacity Planning via Pricing and Advance Selling: When to Stop and Act? ”) is an associate professor of operations management at McGill University's Desautels Faculty of Management. His research interests include supply chain management, closed-loop supply chains, and sustainable operations, as well as the operations-marketing interface. His research has appeared in academic journals including Operations Research, Manufacturing & Service Operations Management, Production and Operations Management, IIE Transactions, and Naval Research Logistics. Huseyin Cavusoglu (“ An Analysis of the Impact of Passenger Profiling for Transportation Security ”) is an assistant professor of information systems and operations management at the School of Management at the University of Texas at Dallas, where he received his Ph.D. in management science. He has published in various journals including Management Science, Information Systems Research, INFORMS Journal on Computing, Decision Analysis, IEEE Transactions on Software Engineering, IEEE Transactions on Engineering Management, Communications of the ACM, and the International Journal of Electronic Commerce. His major research interests include assessment of the value of IT security and design of IT security architecture. Cristiano Cervellera (“ Functional Optimization Through Semilocal Approximate Minimization ”) received the M.Sc. degree in electronic engineering from the University of Genoa, Italy, in 1998, and the Ph.D. degree in electronic engineering and computer science in 2002. Since 2002 he has been a researcher at the Genoa branch of the Institute of Intelligent Systems for Automation of the Italian National Research Council. His research interests include number-theoretic methods for optimization, optimal control, neural networks, and machine learning. He is particularly interested in the development of efficient algorithms for the approximate solution of nonlinear optimization problems. William Chung (“ Subproblem Approximation in Dantzig-Wolfe Decomposition of Variational Inequality Models with an Application to a Multicommodity Economic Equilibrium Model ”) received a B.Eng. degree in industrial engineering from Ryerson University in Toronto, Ontario, Canada, a master's of applied science, and a Ph.D. in management sciences from the University of Waterloo in Waterloo, Ontario, Canada. He is an associate professor in the Department of Management Sciences, City University of Hong Kong. His current research interests are in enhancing modeling methods and solution techniques for large-scale mathematical programming models. Yu Ding (“ A Computable Plug-In Estimator of Minimum Volume Sets for Novelty Detection ”) is an associate professor in the Department of Industrial and Systems Engineering at Texas A & M University. He received his Ph.D. in mechanical engineering from the University of Michigan in 2001. His research interests include systems informatics, machine learning, and quality and reliability engineering. He is a member of INFORMS. Jörn Dunkel (“ Stochastic Root Finding and Efficient Estimation of Convex Risk Measures ”) is a postdoctoral research assistant at the Rudolf Peierls Centre for Theoretical Physics and Junior Research Fellow of Mansfield College at the University of Oxford. He received his Ph.D. from the University of Augsburg and holds an M.Sc. in mathematics and an M.Sc. in physics, both from Humboldt-Universität zu Berlin. His current research interests include stochastic finance (credit risk models, Monte Carlo methods), biophysics (bacterial motility), nonequilibrium systems (active nematics), and relativistic stochastic processes. Gadi Fibich (“ Aggregate Diffusion Dynamics in Agent-Based Models with a Spatial Structure ”) is a professor of applied mathematics at Tel Aviv University. He received his Ph.D. in 1994 from New York University. His research interests include mathematical modeling in economics and management sciences. J. David Fuller (“ Subproblem Approximation in Dantzig-Wolfe Decomposition of Variational Inequality Models with an Application to a Multicommodity Economic Equilibrium Model ”) is a professor in the Department of Management Sciences, Faculty of Engineering, University of Waterloo, in Waterloo, Ontario, Canada. He obtained a B.Sc. in mathematics from Queen's University in Kingston, Ontario, in 1973, an M.Sc. in applied mathematics from the University of British Columbia, in Vancouver in 1975, and a Ph.D. in interdisciplinary studies from the University of British Columbia in 1980. His main research interests are in models of energy markets, and algorithms for their solution. Vishal Gaur (“ Assortment Planning and Inventory Decisions Under Stockout-Based Substitution ”) is an associate professor of operations management at the Johnson Graduate School of Management at Cornell University. His research interests include retail operations and problems on the interface of operations and finance. Chanit Giat (“ The cμ/θ Rule for Many-Server Queues with Abandonment ”) is a Ph.D. student in the Department of Electrical Engineering, Technion, Israel. Her research interests are in stochastic processes, and asymptotic analysis and control of queueing systems. Ro'i Gibori (“ Aggregate Diffusion Dynamics in Agent-Based Models with a Spatial Structure ”) works in the IT and financial services industries. He received his M.Sc. degree in mathematics in 2007 and M.A. degree in psychology in 2003, both from Tel Aviv University. His research interests include stochastic modeling, analysis, and simulation in marketing and networks. Renato Guseo (“ Correction to the Paper ‘Optimal Product Launch Times in a Duopoly: Balancing Life-Cycle Revenues with Product Cost’ ”) is full professor in statistics, since 1994, at the University of Padua, Department of Statistical Sciences, Italy. Educated at the University of Padua, he was assistant professor in statistics at the Catholic University S.C. of Milan, director of the Department of Statistical Sciences at the University of Udine, and presenter of a B.Sc. course in regional economics and firms' networks at the University of Padua. His current research is focused on statistical quality control, design of hierarchical experiments, diffusion of innovations, competition and substitution, cellular automata, network automata, intervention and control in subsystems, oil and gas depletion models, and diffusion of emerging energy technologies. Walter J. Gutjahr (“ Dynamic Policy Modeling for Chronic Diseases: Metaheuristic-Based Identification of Pareto-Optimal Screening Strategies ”) is an associate professor in the Department of Statistics and Decision Support Systems at the University of Vienna, Austria. He received his Ph.D. in mathematics and the habilitation in applied mathematics and computer science, both from the University of Vienna. After several years of activity in technical and management positions at Siemens Corporation in the area of information technology, he took a position at the University of Vienna, where he currently teaches applied mathematics and operations research. His research interests include combinatorial optimization, evolutionary computation, analysis of algorithms, software engineering, project management, scheduling, and health-care management. He has published numerous scientific articles, and his papers on ant colony optimization are currently among the most frequently cited articles in the field. Kurt Heidenberger (“ Dynamic Policy Modeling for Chronic Diseases: Metaheuristic-Based Identification of Pareto-Optimal Screening Strategies ”) is professor and chair of the Department of Innovation and Technology Management at the University of Vienna, Austria. He received an M.A. in mathematics, a Ph.D. in economics and social science, and the habilitation in business administration, all from the University of Erlangen-Nürnberg, Germany. His research interests include applications of management science and decision-support systems to issues of strategic management, innovation/technology management, and health policy. His work has been published extensively in scientific journals, and he has broad experience in research and consulting with major corporations, government agencies, and international institutes such as the World Health Institute. Dorothée Honhon (“ Assortment Planning and Inventory Decisions Under Stockout-Based Substitution ”) is an assistant professor of operations management at the McCombs School of Business of the University of Texas at Austin. Her research interests include assortment planning, variety theory, retail operations, and inventory management. Particularly, she studies multiproduct problems with customer-driven substitution. Stephen C. Hora (“ An Analytic Method for Evaluating the Performance of Aggregation Rules for Probability Densities ”) is a research professor in engineering and public policy at the University of Southern California, where he also serves as director of the National Center for Risk and Economic Analysis of Terrorism Events. He formerly served at the College of Business and Economics at the University of Hawaii at Hilo where much of the work reported in this article was completed. His interests are in risk and decision analyses of terrorist, technological, and environmental threats and hazards. Jianhua Z. Huang (“ A Computable Plug-in Estimator of Minimum Volume Sets for Novelty Detection ”) is a professor in the Department of Statistics at Texas A & M University. He received his Ph.D. in statistics from the University of California at Berkeley in 1997. His research interests include computational statistics, statistical machine learning, and applications of statistics in economics, business, and engineering. Eric Logan Huggins (“ Inventory Control with Generalized Expediting ”) is an associate professor of management in the School of Business at Fort Lewis College. His research interests include supply-chain management, inventory control, and optimization of sports and games. He works, lives, and plays (not necessarily in that order) in Durango, Colorado. Tetsuo Iida (“ Competition and Cooperation in a Two-Stage Supply Chain with Demand Forecasts ”) is an associate professor at the Faculty of Business Administration, Komazawa University. His research interests include supply chain management and inventory models. Ramesh Johari (“ Investment and Market Structure in Industries with Congestion ”) is an assistant professor at Stanford University, with a full-time appointment in the Department of Management Science and Engineering, and courtesy appointments in the Departments of Computer Science and Electrical Engineering. His research has largely focused on the development of mathematical models for analysis, design, and optimization of large-scale systems, particularly telecom networks and information services. Byungwan Koh (“ An Analysis of the Impact of Passenger Profiling for Transportation Security ”) is a Ph.D. candidate in the School of Management at the University of Texas at Dallas. He obtained his B.A. in business administration from Korea University, Seoul, and M.S. in management engineering from KAIST Graduate School of Management, Seoul. His current research interests are information security and privacy, economics of user profiling, and economics of digital contents. Hai Lan (“ A Confidence Interval Procedure for Expected Shortfall Risk Measurement via Two-Level Simulation ”) is an assistant professor of management science at Antai College of Economics and Management, Shanghai Jiao Tong University, China. His research interests include risk management and simulation in financial engineering. Danilo Macciò (“ Functional Optimization Through Semilocal Approximate Minimization ”) received the M.Sc. degree in telecommunication engineering in 2005 and the Ph.D. degree in mathematical engineering and simulation in 2009 from the University of Genoa, Italy. He is working as a Research Fellow at the Genoa branch of the Institute of Intelligent Systems for Automation of the Italian National Research Council. His research interests include numeric solutions of functional optimization problems, neural networks, and maximum likelihood estimation. Cinzia Mortarino (“ Correction to the Paper ‘Optimal Product Launch Times in a Duopoly: Balancing Life-Cycle Revenues with Product Cost’ ”) has been an associate professor in the Department of Statistical Sciences at the University of Padua, Italy, since 2006. She received her Ph.D. degree in applied statistics to economic and social sciences from the university and served as an assistant professor in the Faculty of Economics at the University of Modena and Reggio Emilia, Italy. Her research interests include design of experiments, statistical quality control, innovation diffusion models, statistical methodology, and applications. Marco Muselli (“ Functional Optimization Through Semilocal Approximate Minimization ”) is a senior researcher at the Institute of Electronics, Computer and Telecommunication Engineering of the Italian National Research Council. His research interests include machine learning, bioinformatics, neural networks, global optimization, mathematical statistics, and probability theory. He is particularly focused on the development of new efficient rule generation methods and their applications in several fields, especially in the solution of biomedical problems. Mahesh Nagarajan (“ Dynamic Supplier Contracts Under Asymmetric Inventory Information ”) is an assistant professor at the Sauder School of Business at the University of British Columbia. He obtained his Ph.D. from the Marshall School of Business at the University of Southern California, Los Angeles. Barry L. Nelson (“ A Confidence Interval Procedure for Expected Shortfall Risk Measurement via Two-Level Simulation ”) is the Charles Deering McCormick Professor and Chair of the Department of Industrial Engineering and Management Sciences at Northwestern University. His research interests are in the design and analysis of stochastic simulation experiments, including multivariate input modeling, optimization via simulation and metamodeling. He is a Fellow of INFORMS. Tava Lennon Olsen (“ Inventory Control with Generalized Expediting ”) is the Ports of Auckland Chair of Operations and Supply Chain Management in the Department of Information Systems and Operations Management at the University of Auckland Business School. Her research interests include supply-chain management, pricing and inventory control, stochastic modeling of manufacturing, service, and health-care systems, queueing systems, and stochastic games. Özalp Özer (“ Information Acquisition for Capacity Planning via Pricing and Advance Selling: When to Stop and Act? ”) is an associate professor of management at the University of Texas at Dallas. Previously he was a faculty member at Columbia University and Stanford University. His general research interest is to investigate the impact of technology and information on the design and control of production and distribution systems, management and coordination of supply chains, and pricing management. This paper represents his long-standing interest in developing decision tools and strategies that can be used by businesses. It was originally motivated by a consulting project with Ericsson. Chiwoo Park (“ A Computable Plug-in Estimator of Minimum Volume Sets for Novelty Detection ”) is a Ph.D. student in the Department of Industrial and Systems Engineering at Texas A & M University. His research interests include predictive modeling, statistical machine learning, and their engineering applications, especially for nanotechnology and sensor network. Joseph Pasia (“ Dynamic Policy Modeling for Chronic Diseases: Metaheuristic-Based Identification of Pareto-Optimal Screening Strategies ”) is assistant professor at the Institute of Mathematics, University of the Philippines–Diliman. He received his M.S. degree in applied mathematics from the university in 2001 and a Ph.D. degree in social and economic sciences in 2006 from the University of Vienna, Austria. He is a post-doctoral research fellow at the Faculty of Engineering, Shinshu University, Japan. His research interests include operations research in logistics, evolutionary computation, and multiobjective optimization. Srinivasan Raghunathan (“ An Analysis of the Impact of Passenger Profiling for Transportation Security ”) is a professor of information systems in the School of Management, the University of Texas at Dallas. He obtained a B.Tech. degree in electrical engineering from IIT, Madras, post graduate diploma in management from IIM, Calcutta, and Ph.D. in business administration from the University of Pittsburgh. His current research interests are in the economics of information security and the value of collaboration in supply chains. His papers have been published in journals such as Management Science, Information Systems Research, Journal of MIS, Production and Operations Management, and various IEEE transactions. Ramandeep S. Randhawa (“ On the Accuracy of Fluid Models for Capacity Sizing in Queueing Systems with Impatient Customers ”) is an assistant professor in the Information and Operations Management Department in the Marshall School of Business at the University of Southern California. His research focuses on designing service systems, flexibility in service and production systems, and revenue management. Marion S. Rauner (“ Dynamic Policy Modeling for Chronic Diseases: Metaheuristic-Based Identification of Pareto-Optimal Screening Strategies ”) is an associate professor in the Department of Innovation and Technology Management at the University of Vienna, Austria. She received an M.B.A. in business informatics, a Ph.D. in social and economic sciences, and her habilitation in business administration, all from the University of Vienna, Austria, and an M.B.A. in business administration from Vienna University of Economics and Business Administration, Austria. Her research interests include international health-care systems, disease policy modeling, operations research in public health, and the evaluation and management of health-care technologies. She has published widely and was awarded the Young, Talented Scientists Award of the Vienna Municipal Government in 2000, the Pharmig Prize for Health Economics in 2002, and the Dr. Maria Schaumeyer Prize, as well as Kardinal-Innitzer-Prize, in 2003. She has also supported the Austrian sick fund for occupational injuries in optimally allocating prevention budgets since 2001. Sridhar Seshadri (“ Assortment Planning and Inventory Decisions Under Stockout-Based Substitution ”) is a professor in the Information, Risk and Operations Management Department of the McCombs School of Business, University of Texas at Austin. Nahum Shimkin (“ The cμ/θ Rule for Many-Server Queues with Abandonment ”) received his Ph.D. degree in electrical engineering from the Technion, Israel, in 1991. Subsequently he spent a year as a postdoctoral fellow at the Institute of Mathematics and Its Applications, University of Minnesota, and a couple of years as a senior research engineer in the Israeli defense industry. He is currently an associate professor of electrical engineering at the Technion and president of the Israeli Association for Automatic Control. His research interests include stochastic systems and control, queueing systems, reinforcement learning, dynamic games, and game theoretic analysis of communication networks. Greys Sošić (“ Dynamic Supplier Contracts Under Asymmetric Inventory Information ”) is an associate professor of operations management in the Information and Operations Management Department at the Marshall School of Business, University of Southern California. Her research interests include supply chain management, competition and cooperation in supply chains, and applied game theory, with particular emphasis on coalition formation and stability. Jeremy Staum (“ A Confidence Interval Procedure for Expected Shortfall Risk Measurement via Two-Level Simulation ”) is an associate professor of industrial engineering and management sciences and holds the Pentair-Nugent Chair at Northwestern University. His research interests include risk management, simulation in financial engineering, and simulation metamodeling. He serves as department editor for financial engineering at IIE Transactions. Benjamin Van Roy (“ Investment and Market Structure in Industries with Congestion ”) is an associate professor of management science and engineering, electrical engineering, and, by courtesy, computer science, at Stanford University. He is broadly interested in the formulation and analysis of mathematical models that address problems in information technology, business, and public policy. Joachim Wagner (“ Dynamic Policy Modeling for Chronic Diseases: Metaheuristic-Based Identification of Pareto-Optimal Screening Strategies ”) is a management consultant. He received his Ph.D. in social and economic sciences from the University of Vienna, Austria, in 2008 and a master's in economical mathematics from the University of Ulm, Germany, in 2004. His research is focused on transfer pricing, internal markets, informational cascades, and disease policy modeling and has been published in journals such as International Journal of the Economics of Business, Zeitschrift fuer betriebswirtschaftliche Forschung, Journal of Economics and Business, and Review of Accounting Studies. Stefan Weber (“ Stochastic Root Finding and Efficient Estimation of Convex Risk Measures ”) is a professor of insurance and financial mathematics at Gottfried Wilhelm Leibniz University, Hannover, Germany. Prior to joining Leibniz University, he was an assistant professor at Cornell University and an honorary associate professor at Maastricht University. His current research interests include risk management and risk measures, Monte Carlo methods, credit risk, optimal portfolio choice, and behavioral finance. Gabriel Y. Weintraub (“ Investment and Market Structure in Industries with Congestion ”) is an assistant professor in the decision, risk, and operations division at Columbia Business School. His research covers several subjects that lie in the intersection between operations research/management science and microeconomics. He is particularly interested in developing mathematical and computational models for the economic analysis of problems in operations. He teaches the core M.B.A. class in operations management and a Ph.D. seminar in microeconomic and game theoretical modeling. Hao Zhang (“ Dynamic Supplier Contracts Under Asymmetric Inventory Information ”) is an assistant professor in the Department of Information and Operations Management at the Marshall School of Business at the University of Southern California. He received his Ph.D. in operations, information, and technology from Stanford University. His current research interests include contract-design theory and applications, incentive and information issues in supply chains, and partially observable Markov decision processes. Paul Zipkin (“ Competition and Cooperation in a Two-Stage Supply Chain with Demand Forecasts ”) is the R. J. Reynolds Professor of Business at the Fuqua School of Business, Duke University. This paper continues his long-standing interest in understanding inventory systems and supply chains.