Scheduling in Green Supply Chain Management: A Mixed-Integer Approach (International Series in Operations Research & Management Science, 303)

"This book presents scheduling with a medium- and short-term focus, which makes it possible to capitalize on fleeting market opportunities while simultaneously working to reconcile economic and environmental priorities. It introduces a new mixed-integer approach to hierarchical discrete-time and continuous-time scheduling, combining aspects of production and recycling, forward and reverse logistics as well as emissions trading for multi-stage supply chain networks. Problem-specific variants of relax-and-fix heuristics and genetic algorithms are also proposed. Given its scope, the book provides a range of practical tools and new perspectives for researchers and professionals in the field of supply chain management."-- Provided by publisher Preface 6 About this Book 8 Contents 9 Abbreviations 11 List of Symbols 12 List of Figures 21 List of Tables 22 Chapter 1: Introduction 23 1.1 Motivation 23 1.2 Framework of Analysis 25 1.3 Outline 27 References 28 Chapter 2: Scheduling in Supply Chain Management 31 2.1 Characteristics and Management of Supply Chains 31 2.2 Discrete-Time and Continuous-Time Supply Chain Scheduling 36 References 39 Chapter 3: Green Supply Chain Management 42 3.1 Origins and Drivers of Green Supply Chain Management 43 3.2 Reverse Logistics and Closed Loop Supply Chains 45 3.2.1 Scope and Definitions 45 3.2.2 Aspects of Organization, Coordination, and Standardization 46 3.2.3 Implementation and Modeling of Closed Loop Supply Chain Networks 49 3.2.3.1 Network Sites 50 3.2.3.2 Reverse Material Flows 51 3.3 Emission Management 53 3.3.1 Scope and Market-Based Regulation 53 3.3.2 Implementation of Emission Management 56 References 58 Chapter 4: Literature Review 61 4.1 Review of Static Approaches 62 4.2 Review of Discrete-Time Approaches 67 4.2.1 Approaches without Elements of Green Supply Chain Management 67 4.2.2 Approaches Including Elements of Green Supply Chain Management 70 4.3 Review of Continuous-Time Approaches 74 4.3.1 Approaches without Elements of Green Supply Chain Management 74 4.3.2 Approaches Including Elements of Green Supply Chain Management 78 4.4 Research Gap and Contributions 79 References 81 Chapter 5: Discrete-Time Scheduling in Green Supply Chain Management 85 5.1 Model Formulation 86 5.1.1 Networks with Recycling and Emission Trading 92 5.1.1.1 Objective Function 92 5.1.1.2 Constraints of Site State 94 5.1.1.3 Constraints of Forward Flows 96 5.1.1.4 Constraints of Reverse Flows 97 5.1.1.5 Capacity Constraints 98 5.1.1.6 Constraints of Emission Trading 99 5.1.1.7 Constraints of Domain Definition 99 5.1.2 Integration of Financial Planning 100 5.2 Numerical Analysis 103 References 111 Chapter 6: Continuous-Time Scheduling in Green Supply Chain Management 112 6.1 Model Formulations 113 6.1.1 Networks with Recycling of Non-perishable Goods 113 6.1.1.1 Internal Recycling 113 Objective Function 118 Constraints of Forward and Reverse Flows 119 Capacity Constraints 121 Constraints of Continuous-Time Scheduling 122 Constraints of Emission Control 124 Constraints of Domain Definition 125 6.1.1.2 External Recycling 125 6.1.1.3 Combined Internal and External Recycling 131 6.1.2 Networks with Recycling of Perishable Goods 134 6.1.2.1 Objective Function 140 6.1.2.2 Constraints of Forward Flows 141 6.1.2.3 Constraints of Quality Control 142 6.1.2.4 Constraints of Reverse Flows 144 6.1.2.5 Constraints of Domain Definition 145 6.1.3 Integration of Financial Planning 146 6.2 Heuristic Solution Methods 155 6.2.1 Relax-and-Fix Algorithm 155 6.2.2 Genetic Algorithm 159 6.3 Numerical Analysis 168 References 178 Chapter 7: Summary and Conclusions 181 Index 185