Supply Chain Configuration (eBook)

Dedication 5
Preface 6
Contents 14
Part I Supply Chain Configuration Problem and Issues 20
1. Configuration 21
1.1 What is Configuration? 21
1.2 What is a Configurable System? 22
1.3 Why is a Configurable System Needed? 29
1.4 Examples and Applications of Configuration 30
1.5 Key Issues in Configuration 31
References 34
2. Scope of Supply Chain Configuration Problem 35
2.1 Introduction 35
2.2 Supply Chain and Supply Chain Management 35
2.3 Supply Chain Management Problem Domain 42
2.4 Supply Chain Configuration Dimensions 51
2.5 Aligning Objectives 59
2.6 Summary 61
References 61
3. Literature Review 64
3.1 Introduction 64
3.2 The Design of the Literature Survey 65
3.3 Detailed Review 68
3.4 Focus Areas for Supply Chain Configuration 87
3.5 Summary 91
References 91
4. Reconfigurable Supply Chains: An Integrated Framework 98
4.1 Introduction 98
4.2 The Concept of Reconfigurable Supply Chains 99
4.3 Configuration Problems and Methods 105
4.4 Integrated Frameworks 108
4.5 Summary 113
References 114
5. Methodology for Supply Chain Configuration 117
5.1 Introduction 117
5.2 Background 118
5.3 Key Issues 120
5.4 Configuration Steps 121
5.5 Elaboration of Steps 125
5.6 Architecture of the Decision Support System 139
5.7 Summary 141
References 142
Part II Solutions 145
6. Knowledge Management as the Basis of Crosscutting Problem- Solving Approaches 146
6.1 Introduction 146
6.2 Crosscutting Approaches – Motivation, Focus, and Significance 148
6.3 Taxonomy, Ontology, and System Integration 152
6.4 Knowledge Management System Development: A Proposed Framework 155
6.5 Knowledge Management System Reference Model 159
6.6 Development of Components of Knowledge Management System 164
6.7 Summary 171
References 171
7. Information Modeling Approaches 176
7.1 Introduction 176
7.2 Information Modeling for Supply Chain Configuration 177
7.3 Process Modeling 183
7.4 Data Modeling 189
7.5 Generic Supply Chain Configuration Data Model 192
7.6 Summary 195
References 195
8. Mathematical Programming Approaches 197
8.1 Introduction 197
8.2 Fundamentals 198
8.3 Mixed-Integer Programming Models 199
8.4. Other Mathematical Programming Models 209
8.5 Sample Application 212
8.6 Model Integration 215
8.7 Summary 218
References 218
9. Simulation Modeling Approaches 221
9.1 Introduction 221
9.2 Background 222
9.3. Overview of Existing Simulation Models 224
9.4 Development of Supply Chain Configuration Simulation Models 228
9.5 Summary 236
References 236
10. Hybrid Approaches 238
10.1 Introduction 238
10.2 Background 238
10.3 Hybrid Modeling For Supply Chain Configuration 240
10.4 Sample Hybrid Models 243
10.5 Summary 255
References 256
11. Information Technology Support for Configuration Problem Solving 257
11.1 Introduction 257
11.2 Information Technology for Supply Chain Configuration 258
11.3 Analytical Systems 261
11.4 Supply Chain Management Information Systems 265
11.5 Prototype of a Decision-Modeling System 270
11.6 Summary 273
References 274
Part III Applications 276
12. Review of Applied Studies 277
12.1 Introduction 277
12.2 Review of Extended Studies 278
12.3 Review of Other Applied Studies 283
12.4 Summary 288
References 289
13. Applications in Automotive Industry 291
13.1 Introduction 291
13.2 Review of Problem Area 291
13.3 Information Modeling Case 296
13.4 Stochastic Optimization Case 301
13.5 Summary 308
References 309
Appendix 310
14. Application in Retail: Locating a Distribution Center 313
14.1 Introduction 313
14.2 Retail Supply Chain 314
14.3 Supply Chain Reconfiguration and Facility Location 318
14.4 Supply Chain Simulators 324
14.5 Case Study: Locating a Distribution Center 329
References 341
15. Future Research Directions in Supply Chain Configuration Problem 344
15.1 Introduction 344
15.2 Trends and Opportunities in Supply Chain Configuration 344
15.3 An Agenda for Future Research in Supply Chain Configuration 346
References 349
Index 350