Green Supply Chain Management: Product Life Cycle Approach

by Wang, Hsiao-Fan; Gupta, Surendra

• ISBN13: 9780071622837
• ISBN10: 0071622837
• Edition: 1st
• Format: Hardcover
• Copyright: 2011-08-17
• Publisher: McGraw-Hill Education

Summary

Green Supply Chain Management: Product Life Cycle Approach provides a stage-by-stage production methodology for incorporating environmental themes into supply chain management.

Table of Contents

Preface	p. xv
Acknowledgment	p. xvii
Basic concepts and Background
Introduction	p. 3
Development of Green Supply Chain Management	p. 3
Evolution of GSCM from SCM	p. 4
Impact of GSCM on Industry	p. 6
Impact of GSCM on Industry Tactics	p. 7
Impact of the Green Supply Chain on Industrial Administration	p. 8
Intensification of Competition by GSCM	p. 10
Summary and Conclusion	p. 10
References	p. 12
Mathematical Background	p. 13
Fuzzy Numbers and Arithmetic	p. 13
Utility Theory	p. 15
The Analytic Hierarchy Process (AHP)	p. 17
Basic Concepts and Pairwise Comparison	p. 18
The Procedure	p. 23
An Example: Determining Consumer Preference	p. 24
Optimization Programming	p. 30
Multi-Objective Linear Program (MOLP)	p. 31
Illustrative Example	p. 32
References	p. 33
Green Engineering Technology
	p. 37
Introduction	p. 37
Green Design	p. 38
Design for X	p. 38
Life Cycle Analysis	p. 39
Material Selection	p. 39
Some Green Design Guidelines	p. 40
Modular Product Structure	p. 40
Design of Functional Units	p. 40
Material Selection	p. 41
Minimize Waste and Harmful Contaminating Materials	p. 41
Ease of Separation	p. 41
Steps for Designing Green Products	p. 41
Product Recovery at the End-of-Life	p. 43
The 12 Principles of Green Engineering	p. 45
Inherent Rather Than Circumstantial	p. 45
Prevention Instead of Treatment	p. 45
Design for Separation	p. 46
Maximize Efficiency	p. 46
Output-Pulled Versus Input-Pushed	p. 46
Conserve Complexity	p. 46
Durability Rather Than Immortality	p. 46
Meet Need, Minimize Excess	p. 46
Minimize Material Diversity	p. 46
Integrate Material and Energy Flows	p. 46
Design for Commercial "Afterlife"	p. 46
Renewable Rather Than Depleting	p. 46
References	p. 47
Green Materials	p. 51
Introduction	p. 51
WEEE and RoHS Directives	p. 51
Selection of Materials	p. 52
Metals	p. 52
Ceramics	p. 52
Polymer Thermoplastics	p. 53
Polymer Thermosets	p. 53
Elastomers	p. 53
Natural Organic Materials	p. 53
Composites	p. 54
Conclusions	p. 54
References	p. 54
Environmental Design	p. 55
Introduction	p. 55
Design for Disassembly Index	p. 56
Nomenclature	p. 57
The Cost-Benefit Function	p. 58
DfDI Calculation Procedure	p. 60
An Application of the Procedure	p. 60
The Optimization Model	p. 67
An Application of the Optimization Procedure	p. 69
Use of Sensor Embedded Products	p. 71
Sensor-Embedded Products (SEPs)	p. 71
Remote Monitoring Center (RMC)	p. 72
Disassembly Center	p. 73
Disassembly Center	p. 73
Recycling Center	p. 74
Remanufacturing Center	p. 74
Disposal Center	p. 74
Sensor Data Mining	p. 74
Benefit form SEP and Product Monitoring Framework	p. 74
References	p. 75
Green Value Chain Management
Green Procurement: Vendor Selection with Risk Analysis	p. 79
Introduction	p. 79
Risk Analysis of Green Vendor Selection	p. 80
Criteria of Selection with Their Hierarchical Relations	p. 82
Weighting of the Criteria	p. 82
Measures of the Attributes	p. 83
Vendor Evaluation and Selection	p. 89
Risk Aggregation Method	p. 89
Ranking Method	p. 90
Sensitivity Analysis and Alliance Development	p. 91
Issues of Sensitivity Analysis	p. 91
Sensitivity Analysis on AHP	p. 92
Summary of the Selection Procedure	p. 92
Numerical Example	p. 93
Estimation of Risks and Ranking of Two Suppliers	p. 93
Sensitivity Analysis	p. 99
Conclusion of the Example	p. 101
Summary and Conclusion	p. 101
References	p. 102
Pairwise Matrices Given for AHP of the Numerical Example	p. 102
Green Production: Manufacture and Remanufacture in Certain and Uncertain Environments	p. 105
Introduction	p. 105
Current Development	p. 107
Elements of the Lot-Sizing Model	p. 107
Current Lot-Sizing Models	p. 108
Conclusion	p. 109
The Green Lot-Sizing Production Model	p. 111
Framework of the Periodic Closed-Loop Production System	p. 111
Modeling in a certain Environment	p. 111
Modeling in an Uncertain Environment	p. 115
Numerical Illustration	p. 120
Summary and Conclusion	p. 123
References	p. 124
Green Logistics Recycling with Certain and Uncertain Situation	p. 125
Introduction	p. 125
Deterministic Modeling of Closed-Loop Logistics	p. 127
The Deterministic Closed-Loop Logistics Model (DCLL)	p. 128
The Transformed Integer Linear Programming Model	p. 131
An Illustrative Example	p. 134
Conclusions	p. 164
References	p. 165
Comparison of the Expected Objective Value Between q1 and q2	p. 167
Green Customers: Features and Identification	p. 169
Introduction	p. 169
Features of the Green Consumer	p. 169
Demographic Characteristics	p. 170
Psychographic Characteristics	p. 171
Questionnaire Design	p. 172
Analytical Methods	p. 172
Sample Size Determination	p. 172
Data Analysis	p. 181
Cluster Analysis	p. 182
Target Consumer Identification: Numerical Illustration	p. 187
Sample Size Determination	p. 187
Quantification of the Survey Data	p. 189
Distributions of Sociodemographic Variables	p. 189
Factor Analysis	p. 189
Target Customer Identification	p. 190
Conclusion of the Numerical Example	p. 192
Summary and Conclusion	p. 194
References	p. 196
End-of-Life Management:Disassembly and Reuse	p. 197
Introduction	p. 197
Current Development	p. 198
Issues with a Closed-Loop Supply Chain	p. 198
Life-Cycle Effects on the Quantity and Quality of Returned Products	p. 199
EOL and End-of-Use Recovery selection	p. 201
Concept of Disassembly	p. 202
Design for Disassembly Representation	p. 204
Demand-Driven Disassembly Planning	p. 208
Disassembly to Demand (D2D): Modeling and Analysis	p. 208
Representation of Product Structure	p. 209
Disassembly Configurations for Modules	p. 210
Restrictions of Recovery Options	p. 211
Mathematical Model	p. 211
An Illustrative Example	p. 220
Conclusion and Future Research Direction	p. 221
References	p. 223
Green Information Management Systems
Database for Life Cycle Assessment: Procedure with Database	p. 229
Introduction	p. 229
Applicable International Standards on Product Carbon FootPrint	p. 230
Available Software for LCA	p. 231
Inventory of Product Carbon Footprint	p. 235
Summary and Conclusion	p. 236
Procedure of LCA	p. 237
Setting the Inventory Target for the selected Product	p. 237
Setting the Borderline	p. 237
Identification of Emission Source	p. 238
Data Collection	p. 239
Quantification of Emission	p. 239
Methods of Quantification	p. 239
Selection of the Emission Coefficient	p. 241
Summary of Quantification Results	p. 241
Construction of Inventory Database	p. 241
Impartial Third-Party Verification	p. 241
General Requirements	p. 242
Monitoring Mechanism of Impartiality	p. 244
An Illustrative Example	p. 244
Setting the Borderline	p. 244
Identification of Emission Source	p. 245
Application Simulation	p. 245
Quantification of Emission from Storage and Transport	p. 248
Summary and Discussion	p. 250
Conclusion	p. 251
References	p. 251
Emission Factors and Coefficient Charts of Different Industries and Nations	p. 252
Web-Based Information Support Systems	p. 265
Introduction	p. 265
Infrastructure of Recommender Systems	p. 267
Recommendation Methods	p. 268
Roles and Their Goals in a Recommender System	p. 270
Summary and Discussion	p. 271
Operations in the Submodules of the System	p. 271
Offline Operations	p. 271
Online Operations	p. 276
Measures of Recommendation Performance	p. 279
Summary of Offline and Online Operation Procedures	p. 279
An Illustrative Case: Laptops RS of a 3C Retailer	p. 280
Experiments of Strategy Implementation	p. 280
Summary and Remarks of Experiments	p. 284
Conclusion	p. 288
References	p. 289
Index	p. 291
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