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.