Supply Chain Configuration : Concepts, Solutions, and Applications

by Chandra, Charu

• ISBN13: 9780387251905
• ISBN10: 0387251901
• Format: Hardcover
• Copyright: 2007-02-01
• Publisher: Springer Verlag

Summary

This book is written for practitioners and researchers who are currently working in the field of supply chain management and operations management. The goal of the book is to provide a thorough explanation of the supply chain configuration problem and provide solutions that combine the mathematical aspects of problem solving and the usage of modern information technology in the design, modeling, and implementation of solutions.

Table of Contents

Supply Chain Configuration Problem and Issues	p. 1
Configuration	p. 3
What is Configuration?	p. 3
What is a Configurable System?	p. 4
System and System Design Concepts	p. 4
Sources of Configuration	p. 7
Impact of Public Policies on Configuration	p. 9
Configuration Problems	p. 10
Configuration models	p. 10
Configuration Solutions	p. 11
Why is a Configurable System Needed?	p. 11
Examples and Applications of Configuration	p. 12
Key Issues in Configuration	p. 13
Coordination and Synchronization	p. 13
Conflicting Objectives	p. 13
Complex Network	p. 13
System Variation Over Time	p. 14
Push-Pull Strategies	p. 14
Direct-to-Consumer	p. 14
Strategic Alliance	p. 15
Mass Customization	p. 15
Outsourcing and Procurement Strategies	p. 15
Information Technology and Decision Support Systems	p. 15
Customer Value	p. 16
References	p. 16
Scope of Supply Chain Configuration Problem	p. 17
Introduction	p. 17
Supply Chain and Supply Chain Management	p. 17
A Systems Perspective on Supply Chains	p. 18
The Supply Chain as a Configurable System	p. 21
Supply Chain Management Process	p. 22
Supply Chain Management Problem Domain	p. 24
Overall Supply Chain Management Problems	p. 27
Subset of Supply Chain Configuration Problems	p. 31
Integration	p. 32
Supply Chain Configuration Dimensions	p. 33
Horizontal Extent	p. 33
Vertical Extent	p. 36
Objectives and Criteria	p. 36
Decisions	p. 38
Parameters	p. 40
Aligning Objectives	p. 41
Summary	p. 43
References	p. 43
Literature Review	p. 47
Introduction	p. 47
The Design of the Literature Survey	p. 48
Classification Criteria	p. 49
Complexity Criteria	p. 50
Detailed Review	p. 51
Focus Areas for Supply Chain Configuration	p. 70
Summary	p. 74
References	p. 74
Reconfigurable Supply Chains: An Integrated Framework	p. 81
Introduction	p. 81
The Concept of Reconfigurable Supply Chains	p. 82
Need	p. 82
Definition	p. 83
Advantages and Difficulties	p. 85
Requirements	p. 86
Configuration Problems and Methods	p. 88
Integrated Frameworks	p. 91
Existing Frameworks	p. 92
Proposed Frameworks	p. 93
Summary	p. 96
References	p. 97
Methodology for Supply Chain Configuration	p. 101
Introduction	p. 101
Background	p. 102
Key Issues	p. 104
Configuration Steps	p. 105
Elaboration of Steps	p. 109
Initialization of Configuration	p. 109
Decision-Making Circumstances and Modeling Scope	p. 110
Information Modeling	p. 114
Preselection	p. 118
Selection	p. 120
Analysis of Output Data	p. 122
Approbation of Results	p. 122
Architecture of the Decision Support System	p. 123
Summary	p. 125
References	p. 126
Solutions	p. 129
Knowledge Management as the Basis of Crosscutting Problem-Solving Approaches	p. 131
Introduction	p. 131
Crosscutting Approaches - Motivation, Focus, and Significance	p. 133
Motivation and Focus	p. 134
Problem Solving for Configurable Systems	p. 134
Significance of This Approach	p. 136
Taxonomy, Ontology, and System Integration	p. 137
Taxonomy	p. 138
Ontology	p. 138
Knowledge Management System Development: A Proposed Framework	p. 140
Taxonomy	p. 141
Knowledge Management System Reference Model	p. 144
Development of Components of Knowledge Management System	p. 150
Capture	p. 150
Assembly	p. 151
Storage	p. 155
Usage	p. 155
Summary	p. 156
References	p. 156
Information Modeling Approaches	p. 161
Introduction	p. 161
Information Modeling for Supply Chain Configuration	p. 162
Purpose	p. 162
Interactions with Information Systems Development	p. 163
Overview of Modeling Techniques	p. 165
Process Modeling	p. 168
Data Modeling	p. 174
General Data Model	p. 175
Modeling Technique Specific Data Model	p. 176
Data Mapping	p. 177
Generic Supply Chain Configuration Data Model	p. 177
Summary	p. 180
References	p. 180
Mathematical Programming Approaches	p. 183
Introduction	p. 183
Fundamentals	p. 184
Mixed-Integer Programming Models	p. 185
Generic Formulation	p. 186
Modifications	p. 188
Computational Issues	p. 191
Other Mathematical Programming Models	p. 195
Multi-Objective Programming Models	p. 195
Stochastic Programming Models	p. 197
Non-Linear Programming Models	p. 198
Sample Application	p. 198
Model Integration	p. 201
Summary	p. 204
References	p. 204
Simulation Modeling Approaches	p. 207
Introduction	p. 207
Background	p. 208
Overview of Existing Simulation Models	p. 210
Development of Supply Chain Configuration Simulation Models	p. 214
Approach	p. 215
Representation of Supply Chain Entities	p. 216
Model Generation	p. 217
Sample Simulation Results	p. 221
Summary	p. 222
References	p. 222
Hybrid Approaches	p. 225
Introduction	p. 225
Background	p. 225
Hybrid Modeling For Supply Chain Configuration	p. 227
General Approach	p. 228
Types of Hybrid Models	p. 228
Sample Hybrid Models	p. 230
Sequential Hybrid Modeling	p. 230
Simultaneous Hybrid Modeling	p. 232
Meta-Model Based Feedback	p. 235
Summary	p. 242
References	p. 243
Information Technology Support for Configuration Problem Solving	p. 245
Introduction	p. 245
Information Technology for Supply Chain Configuration	p. 246
Analytical Systems	p. 249
Standalone Packages	p. 249
Data Warehouses	p. 251
Advanced Planning Systems	p. 252
Integrated Decision-Making Environments	p. 252
Supply Chain Management Information Systems	p. 253
Usage	p. 253
Architecture	p. 254
Integration Technologies	p. 257
Prototype of a Decision-Modeling System	p. 258
Summary	p. 261
References	p. 262
Applications	p. 265
Review of Applied Studies	p. 267
Introduction	p. 267
Review of Extended Studies	p. 268
Review of Other Applied Studies	p. 273
Summary	p. 278
References	p. 279
Applications in Automotive Industry	p. 281
Introduction	p. 281
Review of Problem Area	p. 281
Automotive Supply Chain: Trends, Issues and Opportunities	p. 281
Literature Review	p. 284
Information Modeling Case	p. 286
Case Description	p. 286
Data Models	p. 287
Generated Simulation Model	p. 290
Stochastic Optimization Case	p. 291
Business Objectives	p. 291
System	p. 291
Model	p. 292
Results	p. 295
Summary	p. 298
References	p. 299
Appendix	p. 300
Application in Retail: Locating a Distribution Center	p. 303
Introduction	p. 303
Retail Supply Chain	p. 304
Supply Chain Reconfiguration and Facility Location	p. 308
Facility Location Techniques	p. 309
Supply Chain Simulators	p. 314
Overview	p. 315
Modeling Process	p. 316
Supply Chain Simulation Tool Lord	p. 317
Case Study: Locating a Distribution Center	p. 319
Current Supply Chain	p. 319
Problem Definition	p. 320
Evaluation of Alternatives	p. 321
Summary	p. 331
References	p. 331
Future Research Directions in Supply Chain Configuration Problem	p. 335
Introduction	p. 335
Trends and Opportunities in Supply Chain Configuration	p. 335
An Agenda for Future Research in Supply Chain Configuration	p. 337
References	p. 340
Index	p. 341
Table of Contents provided by Ingram. All Rights Reserved.