Includes bibliographical references and indexes.

Cover
Half Title
Title Page
Copyright Page
Table of Contents
Preface
Editor
Contributors
1 Reverse Logistics
1.1 Introduction
1.2 Differences Between Reverse and Forward Logistics
1.3 Reverse Logistics Process
1.4 Issues in Reverse Logistics
1.4.1 Customer Returns
1.4.2 Repair/Service Returns
1.4.3 EOL Returns
1.4.3.1 Strategic Issues
1.4.3.1.1 Network Design
1.4.3.1.1.1 Deterministic Models
1.4.3.1.1.2 Stochastic Models
1.4.3.1.2 Transportation Issues
1.4.3.1.3 Selection of Used Products
1.4.3.1.4 Facility Layout
1.4.3.1.5 Information Technology
1.4.3.2 Planning and Control
1.4.3.2.1 Forecasting
1.4.3.2.2 Production Planning
1.4.3.2.3 Capacity Planning
1.4.3.2.4 Inventory Management
1.4.3.2.4.1 Deterministic Models
1.4.3.2.4.1.1 Stationary Demand
1.4.3.2.4.1.2 Dynamic Demand
1.4.3.2.4.2 Stochastic Models
1.4.3.2.4.2.1 Continuous Review Models
1.4.3.2.4.2.2 Periodic Review Models
1.4.3.2.5 Selection and Evaluation of Suppliers
1.4.3.2.6 Performance Measurement
1.4.3.2.7 Marketing-Related Issues
1.4.3.2.8 EOL Alternative Selection
1.4.3.2.9 Product Acquisition Management
1.4.3.3 Processing
1.4.3.3.1 Disassembly
1.4.3.3.1.1 Scheduling
1.4.3.3.1.2 Sequencing
1.4.3.3.1.3 Line Balancing
1.4.3.3.1.4 Disassembly-to-Order Systems
1.4.3.3.1.5 Automation
1.4.3.3.1.6 Use of Information Technology in Disassembly
1.4.3.3.1.7 Ergonomics
1.4.3.3.2 Remanufacturing
1.4.3.3.3 Recycling
1.4.4 Reusable Container Returns
1.4.5 Leased Product Returns
1.5 Conclusions
References
2 Issues and Challenges in Reverse Logistics
2.1 Introduction
2.2 Basic Reverse Logistics Activities and Their Scope
2.3 Drivers and Barriers of Reverse Logistics
2.3.1 Major Reverse Logistics Decisions
2.4 Issues and Challenges
2.4.1 Returns Related
2.4.1.1 Returns Policy Issues
2.4.2 Process, Recovery, and Technology Related
2.4.3 Network Design and Coordination-ReIated Decisions
2.4.4 Regulatory and Sustainability Related
2.4.5 Cost-Benefit AnaIysis ReIated
2.5 Some Initiatives, Other Models, and Frameworks
2.5.1 Reverse Logistics Initiatives in India
2.5.2 GLOBAL asset Recovery Services at IBM
2.5.3 CIRCULAR (SustainabIe) Economy at Tianjin
2.5.4 RFID-Based RL System
2.5.5 Implementing JIT Philosophy in RL Systems
2.6 Conclusions and Outcomes
References
3 New-Product Design Metrics for Efficient Reverse Supply Chains
3.1 Overview
3.2 Problem Introduction
3.3 Literature Review
3.4 Design Metrics for End-of-Life Processing
3.4.1 DISASSEMBLY modeI Introduction
3.4.2 Metrics
3.4.3 Metrics as Prototypes
3.4.4 Additional Metrics
3.5 Case Study
3.5.1 Product Data
3.5.2 NumericaI AnaIysis
3.5.3 Results
3.6 Conclusions
References
4 Application of Theory of Constraints’ Thinking Processes in a Reverse Logistics Process
4.1 Introduction
4.2 Theory of Constraints
4.3 Theory of Constraints’ Thinking Processes
4.3.1 What to Change?
4.3.2 What to Change to?
4.3.3 How to Cause the Change?
4.4 Reverse Logistics
4.5 E-Waste
4.6 Application
4.6.1 What to Change?
4.6.2 What to Change to?
4.7 Discussion
4.8 Conclusion
References
5 Modeling Supplier Selection in Reverse Supply Chains
5.1 Introduction
5.2 Methodology
5.2.1 Nomenclature Used in the Methodology
5.2.2 Taguchi Loss Functions
5.2.3 Analytic Hierarchy Process
5.2.4 Ranking the Suppliers
5.2.5 Fuzzy Programming
5.3 Supplier Selection Methodology: A Numerical Example
5.3.1 Determining the Order Quantities: Fuzzy Programming
5.4 Conclusions
References
6 General Modeling Framework for Cost/Benefit Analysis of Remanufacturing
6.1 End of Life Plans
6.2 Remanufacturing
6.3 Processes Involved in Remanufacturing
6.4 Cost/Benefit Model for Take Back Phase
6.4.1 Financial Incentive
6.4.2 Advertisement
6.4.3 Cost Model
6.5 Cost/Benefit Model for Disassembly and Reassembly Phase
6.5.1 Characterizing the Assembly Structure of a Product
6.5.2 Different Forms of DisassembIy
6.5.3 Disassembty Sequence Planning and Optimum Partial Disassembly
6.5.3.1 Connection Graph
6.5.3.2 Direct Graph
6.5.3.3 And/Or Graph
6.5.3.4 Disassembly Petri Nets
6.5.4 Disassembly Line and the Characteristic Parameters of Disassembly
6.5.5 Optimum Partial Disassembly Based on Initial Inspection
6.5.6 Net Profit of the Disassembly Process
6.5.7 Reassembly
6.6 Cost/Benefit Analysis of Resale Phase
6.6.1 Marketing Strategies in Remanufacturing
6.6.2 Demand-Price ReLation
6.6.2.1 Pn ≤ 1 – δ
6.6.2.2 Pn ≥ 1 – δ
6.6.3 Cost/Benefit Model of Resale
6.6.3.1 Two Market Segments for Manufacturing and Remanufacturing
6.6.3.2 Same Market Segment: Duopoly Situation
6.6.3.3 Same Market Segment: Monopoly Situation
6.7 Practical Example
6.7.1 Characteristic Parameters and Functions of the Problem
6.7.2 Modeling the Take Back Phase
6.7.3 Modeling the Disassembly and Reassembly Phase
6.8 Conclusion
References
7 Integrated Inventory Models for Retail Pricing and Return Reimbursements in a JIT Environment for Remanufacturing a Product
7.1 Introduction
7.2 Literature Review
7.3 Notation and Assumptions
7.3.1 Notation
7.3.2 Assumptions
7.4 Development of Models and Analyses
7.4.1 Decentralized Models with Wholesale Price Set by Market
7.4.1.1 Decentralized Model for Retailer’s Optimal Policy with Given pw
7.4.1.2 Decentralized Model for Manufacturer’s Optimal Policy with Given pw
7.4.2 Decentralized Model with Wholesale Price Set by the Manufacturer
7.4.3 Centralized Model for Supply Chain Optimality
7.5 Numerical Illustration and Discussions
7.6 Summary and Conclusions
References
8 Advanced Remanufacturing-to- Οrder and Disassembly-to-Order System under Demand/ Decision Uncertainty
8.1 Introduction
8.2 Literature Review
8.2.1 Product Recovery
8.2.2 Sensor and RFID Technologies
8.2.3 Fuzzy Optimization in Product Recovery
8.3 Fuzzy Goal Programming
8.4 Advanced Remanufacturing-To-Order and Disassembly-To-Order System
8.5 Proposed Mathematical Model
8.5.1 Goals
8.5.2 Constraints
8.6 Numerical Example
8.7 Results
8.8 Conclusions
References
9 Importance of Green and Resilient SCM Practices for the Competitiveness of the Automotive Industry A Multinational Perspective
9.1 Introduction
9.2 Background
9.3 Research Questions and Hypotheses
9.4 Research Methodology
9.4.1 Survey Instrument
9.4.2 Sample Selection
9.5 Data Analysis and Findings
9.5.1 Perception of the Importance of Green and Resilient Paradigms for the Competitiveness of the Automotive Industry
9.5.2 Importance of Green and Resilient SCM Practices for Academics and Professionals
9.5.3 Importance Given to Green and Resilient Practices for the Competitiveness of the Automotive SC Vary by Country
9.6 Conclusions
Appendix
References
10 Balanced Principal Solution for Green Supply Chain under Governmental Regulations
10.1 Introduction
10.2 Framework
10.3 Model
10.3.1 Stage 3
10.3.2 Stage 2
10.3.3 Stage 1
10.4 Analysis
10.5 Conclusion
Appendix
References
11 Barrier Analysis to Improve Green in Existing Supply Chain Management
11.1 Introduction
11.2 Literature Review
11.3 Green Supply Chain Management
11.3.1 Benefits of GSCM
11.4 Integrating Iso 14001 and Gscm
11.5 Barriers in Green Supply Chain Management
11.6 Problem Description
11.7 Solution Methodology
11.8 Data Collection
11.9 Results and Discussion
11.10 Conclusions
Acknowledgment
References
12 River Formation Dynamics Approach for Sequence-Dependent Disassembly Line Balancing Problem
12.1 Introduction
12.2 Notations
12.3 Problem Definition and Formulation
12.4 Proposed River Formation Dynamics Approach
12.4.1 Solution Representation
12.4.2 Feasible Solution Construction Strategy
12.4.3 Main Steps of the Proposed Method
12.5 Numerical Results
12.6 Conclusions
References
13 Graph-Based Approach for Modeling, Simulation, and Optimization of Life Cycle Resource Flows
13.1 Introduction
13.2 Life Cycle Approach in Product Design and Management
13.2.1 Life Cycle Concept
13.2.2 Life Cycle Modeling and Environmental Impact
13.2.2.1 Modeling by Elementary Activities
13.2.2.2 Reference Model for Product Life Cycle
13.2.3 Elmvironmentat Strategies in the Llfe Cycee Approach
13.2.4 Life Cycle Methods and Techniques: LCM, LCA, and LCC
13.2.5 Life Cycle Simulation
13.3 Graph-Based Modeling of Systems
13.3.1 Directed Graphs
13.3.2 Network Flows
13.4 Life Cycle Modeling and Analysis
13.4.1 Definition of Preliminary Life Cycle Parameters
13.4.2 Statement of Graph-Based Modeling
13.4.3 Analysis of Flows Distribution
13.4.4 Identification of Flow Properties and Significant Structure Elements
13.4.5 Role of Network Capacities
13.4.6 Modeling extension
13.5 Life Cycle Simulation and Optimization
13.5.1 Use of the Network Flows-Based Modeling for Life Cycle Simulation
13.5.2 Use of the Network Flows-Based Modeling for Life Cycle Optimization
13.6 Conclusions
References
14 Delivery and Pickup Problems with Time Windows Strategy and Modeling
14.1 Introduction
14.2 Related Work
14.3 Vehicle Routing Problem with Backhauls and Time Windows
14.3.1 Model VRPBTW
14.4 Mixed Vehicle Routing Problem with Backhauls and Time Windows
14.4.1 Model MVRPBTW
14.5 Simultaneous Delivery and Pickup Problem with Time Windows
14.6 Flexible Delivery and Pickup Problem with Time Windows
14.6.1 Model FDPPTW
14.7 Illustrative Example
14.8 Discussions
14.9 Conclusions
Acknowledgment
References
15 Materials Flow Analysis as a Tool for Understanding Long-Term Developments
15.1 Introduction
15.2 System of Reference
15.3 Data Collection
15.4 Categorization
15.5 Results
15.6 Extraction
15.7 Availability
15.8 Disaggregation
15.9 Sustainability
15.10 Conclusion
References
Author Index
Subject Index

"Reverse supply chains consist of a series of activities required to collect used products from consumers and reprocess them to either recover their leftover market values or dispose of them. It has become common for companies involved in a traditional (forward) supply chain (series of activities required to produce new products from virgin materials and distribute them to consumers) to also carry out collection and reprocessing of used products (reverse supply chain). Strict environmental regulations and diminishing raw material resources have intensified the importance of reverse supply chains at an increasing rate. In addition to being environment friendly, effective management of reverse supply chain operations leads to higher profitability by reducing transportation, inventory and warehousing costs. Moreover, reverse supply chain operations have a strong impact on the operations of forward supply chain such as the occupancy of the storage spaces and transportation capacity"--