Note: Intro -- Editorial -- Acknowledgements -- Contents -- Management of V.U.C.A. (Volatility, Uncertainty, Complexity and Ambiguity) Using Machine Learning Techniques in Industry 4.0 Paradigm -- 1 Introduction -- 1.1 Industry 4.0 Paradigm -- 1.2 V.U.C.A. Factors -- 1.3 Applied Machine Learning -- 2 Role of Some Common ML Techniques Applied in Industry 4.0 Platforms for V.U.C.A. Management -- 2.1 The Role of Linear Regression -- 2.2 The Role of Logistic Regression -- 2.3 The Role of Decision Tree -- 2.4 The Role of Random Forest -- 2.5 The Role of SVM -- 2.6 The Role of Naïve Bayes -- 2.7 The Role of kNN (k-Nearest Neighbors) -- 2.8 The Role of k-Means -- 3 V.U.C.A. Management in Industry 4.0 -- 4 Conclusion -- References -- Role of Industry 4.0 in Performance Improvement of Furniture Cluster -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results and Discussion -- 5 Discussion and Conclusion -- Annexure: Explanation of Factors -- References -- Imparting Hands-on Industry 4.0 Education at Low Cost Using Open Source Tools and Python Eco-System -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Strength Areas -- 4.1 MS Excel -- 4.2 IBM SPSS -- 4.3 R -- 4.4 GRETL -- 4.5 Python -- 5 Conclusion -- References -- Decision Support Framework for Smart Implementation of Green Supply Chain Management Practices -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Fuzzy DEMATEL -- 3.2 Fuzzy TOPSIS -- 3.3 Fuzzy SWARA -- 4 Problem Description -- 5 Proposed Framework to Rank Criteria -- 5.1 Phase I: Identification Key GSCM Criteria -- 5.2 Phase II: Ranking Criteria by Fuzzy DEMATEL -- 5.3 Phase III: Determining Weights by Fuzzy SWARA -- 5.4 Phase IV: Comparison of the Results -- 6 Implementation of Proposed Framework -- 6.1 Ranking the Criteria by Fuzzy DEMATEL -- 6.2 Ranking the Criteria by Fuzzy TOPSIS. , 6.3 Computing Weights by Fuzzy SWARA -- 6.4 Fuzzy TOPSIS for Ranking the Criteria -- 7 Results and Discussions -- 8 Managerial Implications -- 9 Conclusions -- References -- Decision Support System for Supply Chain Performance Measurement: Case of Textile Industry -- 1 Introduction -- 2 Supply Chain Management and Performance Measurement Systems -- 3 Textile Supply Chain -- 4 Decision Support System Using Balanced Score Card and Analytic Hierarchy Process -- 5 Research Case Problem -- 6 Methodology Used in Developing DSS -- 7 Case Study -- 8 Data Analysis -- 9 Results and Discussion -- 10 Managerial Implication -- 11 Conclusion -- 12 Limitation -- Appendix -- References -- A Review Study of Condition Monitoring and Maintenance Approaches for Diagnosis Corrosive Sulphur Deposition in Oil-Filled Electrical Transformers -- 1 Introduction -- 2 Literature Survey -- 2.1 Corrosive Sulphur Problem and Consequence -- 3 Currently Applied CM Techniques -- 3.1 Oil Analysis Technique -- 3.2 Electrical Testing Technique -- 3.3 Reaction Mechanism of Formation CSD -- 3.4 Maintenance Approaches -- 4 Result and Discussion -- 4.1 Gap in Implementation Relevant Oil Analysis -- 4.2 Gap in Implementation Relevant Electrical Testing -- 4.3 Gap in Relevant Corrosion Reaction Mechanism -- 4.4 Gap in Detection Relevant Gases By-Products -- 4.5 Outline of Capabilities and Shortcomings -- 5 Conclusion -- References -- Principal Components Based Multivariate Statistical Process Monitoring of Machining Process Using Machine Vision Approach -- 1 Introduction -- 2 Related Research Work -- 3 Multivariate Statistical Control Charts -- 3.1 Hotelling T2 Charts for Individual Observations -- 4 Data Dimensionality Reduction Using Principal Components Analysis -- 5 Machine Vision Approach for Extraction of Quality Parameters -- 6 PC Based MSPM Using MVS: A Case Study. , 6.1 Extraction of Dimensions -- 6.2 Extraction of Surface Texture -- 7 Methodology for PC Based MSPM Using MV -- 8 Results and Discussion -- 9 Conclusion -- References -- Green IS-Exploring Environmental Sensitive IS Through the Lens of Enterprise Architecture -- 1 Introduction -- 2 Green IS-IS Supporting Environmental Care in Firms -- 2.1 Green IS-The Need of a "Big Picture" -- 2.2 Organization Information Space and IS Information Fields -- 3 EA as a Meta-Architecture and Modelling of Green IS -- 4 Green IS as a Functioning Enterprise-EA View -- 4.1 Environmentally Sensitive Business Model (Row 2-Owner's Perspective) -- 4.2 Environmentally Supportive Systems Model (Row 3-Designer's Perspective) -- 4.3 Environmentally Enhanced Technology Model (Row 4-Builder's Perspective) -- 4.4 Scope of Green IS (Row 1-Scope or Planner's View) -- 5 Discussions -- 5.1 Green IS-Connecting the Views Together -- 5.2 OIC and Green IS-Interconnectivity -- 6 Conclusions -- References.