Modeling the supply chain:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Belmont, CA [u.a.]
Thomson Brooks/Cole
2007
|
| Ausgabe: | 2. ed., internat. student ed. |
| Schriftenreihe: | Duxbury applied series
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVI, 608 S. Ill., graph. Darst., Kt. |
| ISBN: | 049512611X |
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| 650 | 4 | |a Materials management |x Mathematical models | |
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| 650 | 4 | |a Industrial procurement |x Mathematical models | |
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| adam_text | PARTI
INTRODUCTION TO SUPPLY CHAIN MANAGEMENT
AND SUPPORTING INFORMATION TECHNOLOGIES 1
CHAPTER 1
Supply Chain Management, Integrated Planning, and Models 3
1.1 Fundamentals of Supply Chain Management 5
1.2 Overview of Supply Chain Models and Modeling Systems 10
1.3 Supply Chain Modeling Incorporates Concepts from Several Management Disciplines 12
1.4 Innovations in Information Technology Require and Support Supply Chain Modeling 23
1.5 Organizational Adaptation to Integrated Supply Chain Management and Modeling 24
Notes 25
References 26
CHAPTER 2
Information Technology 28
2.1 Enterprise Resource Planning Systems 30
2.2 E Commerce 31
2.3 Radio Frequency Identification 34
2.4 Comparison of Transactional and Analytical Information Technology 35
2.5 Hierarchy of Supply Chain Systems 39
2.6 Final Thoughts 52
Exercises 53
Notes 56
References 57
PART II
MODELS 59
CHAPTER 3
Fundamentals of Optimization Models: Linear
Programming 61
3.1 Linear Programming Modeling Examples 62
3.2 Properties of Linear Programming Models 79
3.3 Interpreting an Optimal Linear Programming Solution 85
3.4 Multiple Objective Optimization 94
3.5 Stochastic Programming 96
3.6 Final Thoughts 100
Exercises 101
Notes 106
References 107
Appendix 3A: The Simplex Method of Linear Programming 108
CHAPTER 4
Fundamentals of Optimization Models: Mixed Integer
Programming 117
4.1 Mixed Integer Programming Modeling Vignettes 118
4.2 Distribution Center Location Models 124
4.3 Supply Chain Network Optimization Models 129
4.4 Designing and Implementing Optimization Modeling Systems for Strategic
and Tactical Planning 141
4.5 Optimization Software 148
4.6 Final Thoughts 153
Exercises 154
Notes 159
References 159
Appendix 4A: The Branch and Bound Method for Mixed Integer Programming 161
Contents
CHAPTER 5
Unified Optimization Methodology for Operational
Planning Problems 169
5.1 Heuristic Methods for Combinatorial Optimization Problems 171
5.2 Overview of the Unified Optimization Methodology 180
5.3 Unified Optimization Methodology Applied to Vehicle Routing 189
5.4 Unified Optimization Methodology Applied to Production Scheduling 198
5.5 Final Thoughts 208
Exercises 210
Notes 213
References 215
Appendix 5A: A Recursive Method for Optimizing Routes 216
CHAPTER 6
Overview of Descriptive Models 220
6.1 Demand Forecasting 221
6.2 Simulation Models 233
6.3 Systems Dynamics Models 240
6.4 Activity Based Costing 243
6.5 Metrics, Data Envelopment Analysis, and the Balanced Scorecard 245
6.6 Final Thoughts 251
Exercises 252
Notes 255
References 256
CHAPTER 7
Supply Chain Decision Databases 257
7.1 Data Aggregations 261
7.2 Facility Data 264
7.3 Transportation Network Data 268
7.4 Inventory Data 274
7.5 Supplier Data 275
7.6 Cost Data 278
7.7 Customer and Market Data 287
7.8 Systemwide and Policy Data 288
7.9 Model Output Data 289
7.10 Mapping and Other Graphical Displays of Data Inputs and Outputs 293
7.11 Connections Among Supply Chain Decision Databases 296
7.12 Final Thoughts 299
Exercises 301
Notes 303
References 304
PART III
APPLICATIONS 305
CHAPTER 8
Strategic and Tactical Supply Chain Planning 307
8.1 Resources and the Resource Based View of the Firm 309
8.2 Strategic Analysis of Logistics Supply Chains 314
8.3 Two Logistics Strategy Applications 319
8.4 Strategic Analysis of Manufacturing Supply Chains 324
8.5 Two Manufacturing Strategy Applications 332
8.6 Manufacturing Postponement Strategies 339
8.7 Tactical Planning 343
8.8 Two Tactical Planning Applications 344
8.9 Stages of a Strategic Supply Chain Study 348
8.10 Final Thoughts 352
Exercises 353
Notes 356
References 357
CHAPTER 9 _____
Operational Supply Chain Planning 359
9.1 Taxonomies of Operational Planning Problems 360
9.2 Modeling Systems for Operational Planning 370
Contents
9.3 Vehicle Routing System for an E Commerce Company 376
9.4 Production Planning System for a Semiconductor Company 384
9.5 Dynamic Sourcing in a Reverse Logistics Company 390
9.6 Final Thoughts 395
Exercises 396
Notes 400
References 401
CHAPTER 10
Inventory Planning 403
10.1 Classical Inventory Models 406
10.2 Inventory Deployment Models for Strategic Supply Chain Design 413
10.3 Strategic Inventory Deployment Across a Retailing Distribution Network 419
10.4 Aggregate Inventory Models for Tactical Supply Chain Planning 423
10.5 Spare Parts Inventory Management 425
10.6 Inventory Management in Manufacturing Supply Chains 429
10.7 Final Thoughts 437
Exercises 439
Notes 441
References 441
CHAPTER 11
Supply Chain Decision Making Under Uncertainty 443
11.1 Scenario Planning 444
11.2 Contingency Planning 446
11.3 Decision Trees 448
11.4 Stochastic Programming 452
11.5 Stochastic Programming Applications 461
11.6 Risk Management of Supply Chains 467
11.7 Final Thoughts 469
Exercises 470
Notes 473
References 473
PART IV I
THE FUTURE 475 ¦
CHAPTER 12
Beyond Supply Chain Optimization to Enterprise Optimization 477
12.1 Overview of Enterprise Optimization Modeling 479
12.2 Integrating Supply Chain and Demand Management Decisions 481
12.3 Price and Location Sensitive Revenues 483
12.4 Integrating Supply Chain and Marketing Models for Consumer Products 487
12.5 Optimization Models for Competitive Analysis 503
12.6 Integrating Supply Chain and Demand Management Decisions with Corporate
Financial Decisions 518
12.7 Optimization Models for Corporate Financial Planning 519
12.8 Financial Planning Issues Facing the Multinational Corporation 528
12.9 Financial Flows Model 532
12.10 Final Thoughts 540
Exercises 542
Notes 547
References 549
CHAPTER 13
Organizational Adaptation to Modeling Systems 551
13.1 How Organizations Make Decisions 553
13.2 Contested Issues About Organizational Decision Making 558
13.3 Achieving Supply Chain Competitive Advantage Through Information Technology 570
13.4 Incentive Contracts 579
13.5 Outlook for the Future of Supply Chain Modeling Systems and Their Applications 583
Exercises 588
Notes 593
References 594
Index 595
Credits 605
|
| adam_txt |
PARTI
INTRODUCTION TO SUPPLY CHAIN MANAGEMENT
AND SUPPORTING INFORMATION TECHNOLOGIES 1
CHAPTER 1
Supply Chain Management, Integrated Planning, and Models 3
1.1 Fundamentals of Supply Chain Management 5
1.2 Overview of Supply Chain Models and Modeling Systems 10
1.3 Supply Chain Modeling Incorporates Concepts from Several Management Disciplines 12
1.4 Innovations in Information Technology Require and Support Supply Chain Modeling 23
1.5 Organizational Adaptation to Integrated Supply Chain Management and Modeling 24
Notes 25
References 26
CHAPTER 2
Information Technology 28
2.1 Enterprise Resource Planning Systems 30
2.2 E Commerce 31
2.3 Radio Frequency Identification 34
2.4 Comparison of Transactional and Analytical Information Technology 35
2.5 Hierarchy of Supply Chain Systems 39
2.6 Final Thoughts 52
Exercises 53
Notes 56
References 57
PART II
MODELS 59
CHAPTER 3
Fundamentals of Optimization Models: Linear
Programming 61
3.1 Linear Programming Modeling Examples 62
3.2 Properties of Linear Programming Models 79
3.3 Interpreting an Optimal Linear Programming Solution 85
3.4 Multiple Objective Optimization 94
3.5 Stochastic Programming 96
3.6 Final Thoughts 100
Exercises 101
Notes 106
References 107
Appendix 3A: The Simplex Method of Linear Programming 108
CHAPTER 4
Fundamentals of Optimization Models: Mixed Integer
Programming 117
4.1 Mixed Integer Programming Modeling Vignettes 118
4.2 Distribution Center Location Models 124
4.3 Supply Chain Network Optimization Models 129
4.4 Designing and Implementing Optimization Modeling Systems for Strategic
and Tactical Planning 141
4.5 Optimization Software 148
4.6 Final Thoughts 153
Exercises 154
Notes 159
References 159
Appendix 4A: The Branch and Bound Method for Mixed Integer Programming 161
Contents
CHAPTER 5
Unified Optimization Methodology for Operational
Planning Problems 169
5.1 Heuristic Methods for Combinatorial Optimization Problems 171
5.2 Overview of the Unified Optimization Methodology 180
5.3 Unified Optimization Methodology Applied to Vehicle Routing 189
5.4 Unified Optimization Methodology Applied to Production Scheduling 198
5.5 Final Thoughts 208
Exercises 210
Notes 213
References 215
Appendix 5A: A Recursive Method for Optimizing Routes 216
CHAPTER 6
Overview of Descriptive Models 220
6.1 Demand Forecasting 221
6.2 Simulation Models 233
6.3 Systems Dynamics Models 240
6.4 Activity Based Costing 243
6.5 Metrics, Data Envelopment Analysis, and the Balanced Scorecard 245
6.6 Final Thoughts 251
Exercises 252
Notes 255
References 256
CHAPTER 7
Supply Chain Decision Databases 257
7.1 Data Aggregations 261
7.2 Facility Data 264
7.3 Transportation Network Data 268
7.4 Inventory Data 274
7.5 Supplier Data 275
7.6 Cost Data 278
7.7 Customer and Market Data 287
7.8 Systemwide and Policy Data 288
7.9 Model Output Data 289
7.10 Mapping and Other Graphical Displays of Data Inputs and Outputs 293
7.11 Connections Among Supply Chain Decision Databases 296
7.12 Final Thoughts 299
Exercises 301
Notes 303
References 304
PART III
APPLICATIONS 305
CHAPTER 8
Strategic and Tactical Supply Chain Planning 307
8.1 Resources and the Resource Based View of the Firm 309
8.2 Strategic Analysis of Logistics Supply Chains 314
8.3 Two Logistics Strategy Applications 319
8.4 Strategic Analysis of Manufacturing Supply Chains 324
8.5 Two Manufacturing Strategy Applications 332
8.6 Manufacturing Postponement Strategies 339
8.7 Tactical Planning 343
8.8 Two Tactical Planning Applications 344
8.9 Stages of a Strategic Supply Chain Study 348
8.10 Final Thoughts 352
Exercises 353
Notes 356
References 357
CHAPTER 9 _
Operational Supply Chain Planning 359
9.1 Taxonomies of Operational Planning Problems 360
9.2 Modeling Systems for Operational Planning 370
Contents
9.3 Vehicle Routing System for an E Commerce Company 376
9.4 Production Planning System for a Semiconductor Company 384
9.5 Dynamic Sourcing in a Reverse Logistics Company 390
9.6 Final Thoughts 395
Exercises 396
Notes 400
References 401
CHAPTER 10
Inventory Planning 403
10.1 Classical Inventory Models 406
10.2 Inventory Deployment Models for Strategic Supply Chain Design 413
10.3 Strategic Inventory Deployment Across a Retailing Distribution Network 419
10.4 Aggregate Inventory Models for Tactical Supply Chain Planning 423
10.5 Spare Parts Inventory Management 425
10.6 Inventory Management in Manufacturing Supply Chains 429
10.7 Final Thoughts 437
Exercises 439
Notes 441
References 441
CHAPTER 11
Supply Chain Decision Making Under Uncertainty 443
11.1 Scenario Planning 444
11.2 Contingency Planning 446
11.3 Decision Trees 448
11.4 Stochastic Programming 452
11.5 Stochastic Programming Applications 461
11.6 Risk Management of Supply Chains 467
11.7 Final Thoughts 469
Exercises 470
Notes 473
References 473
PART IV I
THE FUTURE 475 ¦
CHAPTER 12
Beyond Supply Chain Optimization to Enterprise Optimization 477
12.1 Overview of Enterprise Optimization Modeling 479
12.2 Integrating Supply Chain and Demand Management Decisions 481
12.3 Price and Location Sensitive Revenues 483
12.4 Integrating Supply Chain and Marketing Models for Consumer Products 487
12.5 Optimization Models for Competitive Analysis 503
12.6 Integrating Supply Chain and Demand Management Decisions with Corporate
Financial Decisions 518
12.7 Optimization Models for Corporate Financial Planning 519
12.8 Financial Planning Issues Facing the Multinational Corporation 528
12.9 Financial Flows Model 532
12.10 Final Thoughts 540
Exercises 542
Notes 547
References 549
CHAPTER 13
Organizational Adaptation to Modeling Systems 551
13.1 How Organizations Make Decisions 553
13.2 Contested Issues About Organizational Decision Making 558
13.3 Achieving Supply Chain Competitive Advantage Through Information Technology 570
13.4 Incentive Contracts 579
13.5 Outlook for the Future of Supply Chain Modeling Systems and Their Applications 583
Exercises 588
Notes 593
References 594
Index 595
Credits 605 |
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| index_date | 2024-07-02T16:58:10Z |
| indexdate | 2024-07-09T20:54:42Z |
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| isbn | 049512611X |
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| spelling | Shapiro, Jeremy F. Verfasser aut Modeling the supply chain Jeremy F. Shapiro 2. ed., internat. student ed. Belmont, CA [u.a.] Thomson Brooks/Cole 2007 XVI, 608 S. Ill., graph. Darst., Kt. txt rdacontent n rdamedia nc rdacarrier Duxbury applied series Mathematisches Modell Material requirements planning Mathematical models Materials management Mathematical models Business logistics Mathematical models Industrial procurement Mathematical models Marketing channels Mathematical models Linear programming Prozessmanagement (DE-588)4353072-2 gnd rswk-swf Wertschöpfungskette (DE-588)4346401-4 gnd rswk-swf Wertschöpfungskette (DE-588)4346401-4 s Prozessmanagement (DE-588)4353072-2 s DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015519818&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Shapiro, Jeremy F. Modeling the supply chain Mathematisches Modell Material requirements planning Mathematical models Materials management Mathematical models Business logistics Mathematical models Industrial procurement Mathematical models Marketing channels Mathematical models Linear programming Prozessmanagement (DE-588)4353072-2 gnd Wertschöpfungskette (DE-588)4346401-4 gnd |
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| title | Modeling the supply chain |
| title_auth | Modeling the supply chain |
| title_exact_search | Modeling the supply chain |
| title_exact_search_txtP | Modeling the supply chain |
| title_full | Modeling the supply chain Jeremy F. Shapiro |
| title_fullStr | Modeling the supply chain Jeremy F. Shapiro |
| title_full_unstemmed | Modeling the supply chain Jeremy F. Shapiro |
| title_short | Modeling the supply chain |
| title_sort | modeling the supply chain |
| topic | Mathematisches Modell Material requirements planning Mathematical models Materials management Mathematical models Business logistics Mathematical models Industrial procurement Mathematical models Marketing channels Mathematical models Linear programming Prozessmanagement (DE-588)4353072-2 gnd Wertschöpfungskette (DE-588)4346401-4 gnd |
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