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

✍ Scribed by Wolfgang Albrecht

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 187
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Preface
About this Book
Contents
Abbreviations
List of Symbols
List of Figures
List of Tables
Chapter 1: Introduction
1.1 Motivation
1.2 Framework of Analysis
1.3 Outline
References
Chapter 2: Scheduling in Supply Chain Management
2.1 Characteristics and Management of Supply Chains
2.2 Discrete-Time and Continuous-Time Supply Chain Scheduling
References
Chapter 3: Green Supply Chain Management
3.1 Origins and Drivers of Green Supply Chain Management
3.2 Reverse Logistics and Closed Loop Supply Chains
3.2.1 Scope and Definitions
3.2.2 Aspects of Organization, Coordination, and Standardization
3.2.3 Implementation and Modeling of Closed Loop Supply Chain Networks
3.2.3.1 Network Sites
3.2.3.2 Reverse Material Flows
3.3 Emission Management
3.3.1 Scope and Market-Based Regulation
3.3.2 Implementation of Emission Management
References
Chapter 4: Literature Review
4.1 Review of Static Approaches
4.2 Review of Discrete-Time Approaches
4.2.1 Approaches without Elements of Green Supply Chain Management
4.2.2 Approaches Including Elements of Green Supply Chain Management
4.3 Review of Continuous-Time Approaches
4.3.1 Approaches without Elements of Green Supply Chain Management
4.3.2 Approaches Including Elements of Green Supply Chain Management
4.4 Research Gap and Contributions
References
Chapter 5: Discrete-Time Scheduling in Green Supply Chain Management
5.1 Model Formulation
5.1.1 Networks with Recycling and Emission Trading
5.1.1.1 Objective Function
5.1.1.2 Constraints of Site State
5.1.1.3 Constraints of Forward Flows
5.1.1.4 Constraints of Reverse Flows
5.1.1.5 Capacity Constraints
5.1.1.6 Constraints of Emission Trading
5.1.1.7 Constraints of Domain Definition
5.1.2 Integration of Financial Planning
5.2 Numerical Analysis
References
Chapter 6: Continuous-Time Scheduling in Green Supply Chain Management
6.1 Model Formulations
6.1.1 Networks with Recycling of Non-perishable Goods
6.1.1.1 Internal Recycling
Objective Function
Constraints of Forward and Reverse Flows
Capacity Constraints
Constraints of Continuous-Time Scheduling
Constraints of Emission Control
Constraints of Domain Definition
6.1.1.2 External Recycling
6.1.1.3 Combined Internal and External Recycling
6.1.2 Networks with Recycling of Perishable Goods
6.1.2.1 Objective Function
6.1.2.2 Constraints of Forward Flows
6.1.2.3 Constraints of Quality Control
6.1.2.4 Constraints of Reverse Flows
6.1.2.5 Constraints of Domain Definition
6.1.3 Integration of Financial Planning
6.2 Heuristic Solution Methods
6.2.1 Relax-and-Fix Algorithm
6.2.2 Genetic Algorithm
6.3 Numerical Analysis
References
Chapter 7: Summary and Conclusions
Index