Sustainable Production and Logistics: Modeling and Analysis

Cover
Half Title
Title Page
Copyright Page
Dedication
Table of Contents
Preface
About the editors
Contributors
1. Mitigating Customer-Initiated Warranty Fraud for Remanufactured Products in Reverse Supply Chain: A Study on the Effects of Fraud in the Remanufacturing Sector and an Attempt to Curtail them
	1. Introduction
	2. Literature Review
	3. Fraud Overview
		3.1. Description of the System
	4. Methodology
		4.1. Basic Flow Chart
		4.2. Simulation Model Scenarios
			Scenario 1 - Regular Systems
			Scenario 2 - With Sensors
		4.3. Simulation Model Parameters
		4.4. Model Formulation
			4.4.1 The Investigation Processes
			4.4.2 Warranty Claims
				a Normal Claims
				b Fraud Claims
			4.4.3 Fraud and Logistics Costs
			4.4.4 Remanufacturer
			4.4.5 Sensor Behavior Assumptions
		4.5. Simulation Model Output
			4.5.1 Desired Output Metrics
	5. Numerical Example
		5.1. Case 1 - Laptop
		5.2. Case 2 - Mobile Phones
	6. Results and Discussions
	7. Conclusions
	References
2. Price Decision for New and Remanufactured High-Technology Products Under Vertical Nash Model
	1. Introduction
	2. Literature Review
	3. Problem Statement
	4. Model
		Demand Function
		Profit Model
	5. Numerical Example
	6. Conclusion
	References
3. Disassembly Line Balancing of an End-of-Life Product: A Case of Wind Turbine
	1. Introduction
	2. Literature Review
	3. Mathematical Model
	4. A Case of a Wind Turbine
	5. Conclusion
	References
4. A Differential Evolution Algorithm for Balancing Mixed-Model Disassembly Lines
	1. Introduction
	2. Literature Review
		2.1. Literature Review on DE Algorithm
		2.2. Literature Review on DLBP
	3. Problem Statement
	4. Proposed Approach
		4.1. General Outline
		4.2. Decoding Procedure
		4.3. Reproduction and Acceptance
	5. Numerical Example
	6. Computational Tests
	7. Conclusions and Future Research
	Appendix. Data on Test Problems
	References
5. Integrated Collection-Disassembly-Distribution Problem
	1. Introduction
	2. Literature Review
	3. Problem Definition and Modeling
		3.1. Mathematical Model #1
		3.2. Mathematical Model #2
	4. Computational Experiments
		4.1. Results for the Numerical Example
		4.2. Scenario Analyses
	5. Conclusions
	Acknowledgments
	References
6. Trade-in-to-Upgrade Policymaking in a Digital Twin Disassembly-to-Order System for the Consumer Electronics Industry
	1. Introduction
	2. Trade-in-to-Upgrade Policymaking in Smart Product Recovery
		2.1. End-of-Life Product Recovery Operations
		2.1. Digital Twin as a Disruptive Technology
		2.3. Trade-in Policymaking in a Digital Twin Disassembly-to-Order System
	3. System Description
	4. Trade-in-to-Upgrade Policy Model
		4.1. Notations
		4.2. Mathematical Formulation
		4.3. Dynamic Trade-in Policymaking Model
	5. Numerical Analysis
		5.1. Analysis for Dynamic Trade-in Policymaking
	6. Conclusion
	References
7. Use of Metaheuristics in Reverse Logistics and De-manufacturing
	1. Introduction
		1.1. Background
		1.2. DLBP Case Study
		1.3. Complexity Theory
		1.4. Complexity Theory and Justification of Metaheuristics
	2. Metaheuristic Design and Application
		2.1. Overview
		2.2. Core Metaheuristic Concepts
		2.3. Metaheuristic Modifications to Address Problem Structure
		2.4. Metaheuristic Modifications due Understanding of the Metaheuristic's Process
		2.5. Metaheuristic Coefficient Selection
		2.6. Metaheuristic Stopping Criteria
	3. Metaheuristic Performance Evaluation
		3.1. Formulation
		3.2. Generating the Benchmark
		3.3. Analysis
	4. Summary
	References
8. Reverse Logistics Network Design for Recycling of Packaging Waste: A Case Study
	1. Introduction
	2. Literature Survey
	3. Management of Non-hazardous Recyclable Waste in Kayseri
	4. Recycling Network Design and Modeling
		4.1. Modeling
			4.1.1. Notations
			4.1.2. Formulation
		4.2. Case Study
		4.3. Results and Discussions
	5. Conclusion
	Acknowledgments
	References
9. Comparison of Sensor-Embedded Closed-Loop Supply Chain Systems with Regular Systems
	1. Introduction
	2. Literature Review
		2.1. Disassembly-to-Order Systems
		2.2. Remanufacturing
			2.2.1. Production Planning
			2.2.2. Scheduling
		2.3. Maintenance
		2.4. Sensor-Embedded Products
	3. System Description
		3.1. Maintenance of Dishwashers and Dryers
			3.1.1. Maintenance of RDWD Systems
			3.1.2. Maintenance of SEDWD Systems
		3.2. Dishwasher and Dryer EOL Processes
			3.2.1. EOL Processes of RDWD Systems
			3.2.2. EOL Processes of SEDWD Systems
			3.2.3. Reprocessing in RDWD and SEDWD Systems
	4. Design of Experiments Study
	5. Results and Analysis
	6. Conclusions
	References
	Appendix A
10. DEMATEL-Based Analysis of the Factors Hindering the Effective Use of Industry 4.0 Technologies in Reverse Logistics
	1. Introduction
	2. Industry 4.0 and Reverse Logistics
	3. Factors That Hinder the Implementation of Industry 4.0 Technologies in Reverse Logistics Systems
	4. DEMATEL
	5. Analysis of the Factors Using DEMATEL
	6. Conclusions
	References
11. Considering Service Level in Planning Forward/Reverse Supply Chain Network Under Uncertainties
	1. Introduction
	2. Literature Review
		2.1. CLSC Network Design under Multiple Objectives
			2.1.1. Deterministic Models
			2.1.2. Stochastic Models
		2.2. Service Level in Designing Supply Chain Network
			2.2.1. The Service Level in the Tsc Network
			2.2.2. The Service Level in the CLSC Network
	3. Product Substitution
	4. Problem Description and Assumptions
	5. Methodology
		5.1. Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS)
		5.2. Goal Programming
		5.3. Robust Optimization
	6. Numerical Example
	7. Results and Discussion
	8. Conclusion
	References
	Appendix A
	Notations
	General Parameters
	Fixed Costs
	Unit Costs
	Shipping Costs
	Capacity Parameters
	Carbon Emission Parameters
	Design Variables
	Control Variables
	Model Formulation
	Objective Functions
	Constraints
	Appendix B
12. Two-Stage Repair-Full Refund Warranty Policy Analysis for Remanufactured Products in Reverse Supply Chain
	1. Introduction
	2. Literature Review
		2.1. Environmentally-Conscious Manufacturing and Product Recovery
		2.2. Warranty Analysis
	3. System Description
	4. Two-Stage Repair-Full Refund Warranty
	5. Notations
		5.1. Assumptions
		5.2. Notations
	6. Cost Model for a Sensor-Embedded Remanufactured Products under RFRW
		6.1. Initial Remanufactured Product Purchase Cost
		6.2. Product Upgrade Cost
		6.3. Warranty Cost under RFRW
	7. Results
	8. Conclusions
	References
13. An Application of Warehouse Layout and Order Picking in a Distribution Center
	1. Introduction
	2. Current Layout
	3. Proposed Layout
		3.1. Corridor Assignment
		3.2. Location Assignment
	4. Proposed Mathematical Model for Order Picking
		4.1. Notations
		4.2. Mathematical Model
	5. Case Study
	6. Comparative Results
	7. Conclusions and Future Directions
	References
14. Application of Analytical Network Process-Based BOCR Model on Green Supplier Selection Problem: A Case of ISO 14001 Certified Hotel
	1. Introduction
	2. Literature Review
		2.1. Multi-criteria Decision Making
		2.2. BOCR Analysis
		2.3. Literature Review on Multi-criteria Decision Making in Supplier Selection
	3. Problem Statement
	4. Proposed Approach
		4.1. General Outline of Case
		4.2. Determining Selection Criteria
			4.2.1. Identification of BOCR Measurements and Sub-criteria
				4.2.1.1. Benefits
				4.2.1.2. Opportunities
				4.2.1.3. Costs
				4.2.1.4. Risks
			4.2.2. Alternatives
		4.3. ANP Model Application and Solution
	5. Conclusions and Future Research
	References
15. A Group Decision-Making Approach Using Fuzzy AHP and Fuzzy VIKOR for Green Supplier Evaluation
	1. Introduction
	2. Methodology
		Fuzzy Vikor
	3. Case Study
	4. Conclusion
	References
16. An Improved Extension of Weighted Hierarchical Fuzzy Axiomatic Design: Sustainable Route Selection Problem in Intermodal Transportation Networks
	1. Introduction
	2. A Brief Literature Review on Sustainable Route Selection Problem
	3. Overview of Axiomatic Design (AD) Methodology
		3.1. Crisp AD Method and the Proposed Extensions
		3.2. Fuzzy Axiomatic Design (FAD) Method
		3.3. Weighted FAD (WFAD) Method and the Proposed Extensions
	4. A Real-Life Application in an International Logistics Company
		4.1. Description of Route Selection Problem in Intermodal Transportation
		4.2. Design and System Range Data for Alternative Transport Routes
		4.3. Comparison of the Results for Information Contents
	5. Concluding Remarks
	Acknowledgment
	References
17. Minimizing Delays on Single-Line Train Scheduling
	1. Introduction
	2. Problem Definition
	3. Mathematical Formulation
		3.1. Assumptions
		3.2. Notation
		3.3. Mathematical Formulation
	4. Case Study
	5. Conclusions
	References
18. Sustainable Scheduling and Application in Aviation Industry
	1. Introduction
	2. Sustainable Pilot Scheduling Model
	3. Case Study
	4. Experimental Results
	5. Conclusion and Discussion
	References
Author Index
Subject Index