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Matching supply with demand : an introduction to operations management / Gérard Cachon, Christian Terwiesch.
Table of contents only Available online
View onlineLIBRA HB241 .C33 2009
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Lippincott Library HB241 .C33 2009
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Lippincott Library HB241 .C33 2009
By Request
- Format:
- Book
- Author/Creator:
- Cachon, Gérard.
- Language:
- English
- Subjects (All):
- Production management.
- Physical Description:
- xv, 485 pages : illustrations ; 27 cm
- Edition:
- Second edition.
- Place of Publication:
- Boston : McGraw-Hill/Irwin, [2009]
- Summary:
- In its successful first edition, Matching Supply with Demand: An Introduction to Operations Management provided a new framework for operations management. With the second edition, the authors improve that framework. They have added new chapters on the link between finance and operations and on lean operations and the Toyota Production System. In addition, they have expanded the coverage of quality management, statistical process control, and six-sigma capability, and updated the existing material and provided new problems and examples.
- Continuing its successful first-edition model, the book demonstrates how to evaluate and transform business processes and supply chains to avoid too much or too little supply relative to market demand, thereby increasing a firm's competitive advantage over its rivals. The text is both rigorous-analytical models are presented in depth-and relevant-solutions are developed for real business situations-while detailed examples, summary exhibits, and solved problems make the material easily accessible to students.
- Contents:
- 1.1 Learning Objectives and Framework 3
- Chapter 2 The Process View of the Organization 10
- 2.1 Presbyterian Hospital in Philadelphia 10
- 2.2 Three Measures of Process Performance 15
- 2.3 Little's Law 16
- 2.4 Inventory Turns and Inventory Costs 19
- 2.5 Five Reasons to Hold Inventory 23
- Pipeline Inventory 23
- Seasonal Inventory 24
- Cycle Inventory 25
- Decoupling Inventory/Buffers 26
- Safety Inventory 26
- 2.6 The Product-Process Matrix 27
- Chapter 3 Understanding the Supply Process: Evaluating Process Capacity 32
- 3.1 How to Draw a Process Flow Diagram 33
- 3.2 Bottleneck, Process Capacity, and Flow Rate (Throughput) 38
- 3.3 How Long Does It Take to Produce a Certain Amount of Supply? 40
- 3.4 Process Utilization and Capacity Utilization 41
- 3.5 Workload and Implied Utilization 43
- 3.6 Multiple Types of Flow Units 44
- Chapter 4 Estimating and Reducing Labor Costs 56
- 4.1 Analyzing an Assembly Operation 56
- 4.2 Time to Process a Quantity X Starting with an Empty Process 58
- 4.3 Labor Content and Idle Time 60
- 4.4 Increasing Capacity by Line Balancing 63
- 4.5 Scale Up to Higher Volume 66
- Increasing Capacity by Replicating the Line 67
- Increasing Capacity by Selectively Adding Workers 67
- Increasing Capacity by Further Specializing Tasks 69
- Chapter 5 The Link between Operations and Finance 80
- 5.1 Paul Downs Cabinetmakers 81
- 5.2 Building an ROIC Tree 82
- 5.3 Valuing Operational Improvements 87
- 5.4 Analyzing Operations Based on Financial Data 90
- Chapter 6 Batching and Other Flow Interruptions: Setup Times and the Economic Order Quantity Model 97
- 6.1 The Impact of Setups on Capacity 98
- 6.2 Interaction between Batching and Inventory 101
- 6.3 Choosing a Batch Size in the Presence of Setup Times 103
- 6.4 Balancing Setup Costs with Inventory Costs: The EOQ Model 106
- 6.5 Observations Related to the Economic Order Quantity 110
- 6.6 Transfer Batches 114
- 6.7 Setup Time Reduction 114
- 6.8 Other Flow Interruptions: Buffer or Suffer 115
- Chapter 7 Variability and Its Impact on Process Performance: Waiting Time Problems 124
- 7.1 Motivating Example: A Somewhat Unrealistic Call Center 125
- 7.2 Variability: Where It Comes From and How It Can Be Measured 127
- 7.3 Analyzing an Arrival Process 129
- Stationary Arrivals 131
- Exponential Interarrival Times 133
- Nonexponential Interarrival Times 134
- Summary: Analyzing an Arrival Process 135
- 7.4 Service Time Variability 135
- 7.5 Predicting the Average Waiting Time for the Case of One Resource 137
- 7.6 Predicting the Average Waiting Time for the Case of Multiple Resources 141
- 7.7 Service Levels in Waiting Time Problems 144
- 7.8 Economic Implications: Generating a Staffing Plan 145
- 7.9 Impact of Pooling: Economies of Scale 148
- 7.10 Priority Rules in Waiting Lines 152
- Service-Time-Dependent Priority Rules 152
- Service-Time-Independent Priority Rules 152
- 7.11 Reducing Variability 153
- Ways to Reduce Arrival Variability 153
- Ways to Reduce Service Time Variability 154
- Chapter 8 The Impact of Variability on Process Performance: Throughput Losses 163
- 8.1 Motivating Examples: Why Averages Do Not Work 163
- 8.2 Ambulance Diversion 164
- 8.3 Throughput Loss for a Simple Process 165
- 8.4 Customer Impatience and Throughput Loss 169
- 8.5 Several Resources with Variability in Sequence 171
- The Role of Buffers 172
- Chapter 9 Quality Management, Statistical Process Control, and Six-Sigma Capability 178
- 9.1 Controlling Variation: Practical Motivation 179
- 9.2 The Two Types of Variation 180
- 9.3 Constructing Control Charts 182
- 9.4 Control Chart Example from a Service Setting 185
- 9.5 Design Specifications and Process Capability 188
- 9.6 Attribute Control Charts 190
- 9.7 Robust Process Design 192
- 9.8 Impact of Yields and Defects on Process Flow 194
- Rework 195
- Eliminating Flow Units from the Process 196
- Cost Economics and Location of Test Points 196
- Defects and Variability 197
- 9.9 A Process for Improvement 198
- Chapter 10 Lean Operations and the Toyota Production System 202
- 10.1 The History of Toyota 202
- 10.2 TPS Framework 204
- 10.3 The Seven Sources of Waste 205
- 10.4 JIT: Matching Supply with Demand 208
- Achieve One-Unit-at-a-Time Flow 208
- Produce at the Rate of Customer Demand 209
- Implement Pull Systems 209
- 10.5 Quality Management 211
- 10.6 Exposing Problems through Inventory Reduction 213
- 10.7 Flexibility 214
- 10.8 Standardization of Work and Reduction of Variability 215
- 10.9 Human Resource Practices 216
- 10.10 Lean Transformation 217
- Chapter 11 Betting on Uncertain Demand: The Newsvendor Model 220
- 11.1 O'Neill Inc. 221
- 11.2 An Introduction to the Newsvendor Model 223
- 11.3 Constructing a Demand Forecast 223
- 11.4 The Expected Profit-Maximizing Order Quantity 232
- 11.5 Performance Measures 236
- Expected Lost Sales 237
- Expected Sales 239
- Expected Leftover Inventory 239
- Expected Profit 240
- Fill Rate 240
- In-Stock Probability and Stockout Probability 241
- 11.6 Other Objectives for Choosing an Order Quantity 242
- 11.7 Managerial Lessons 244
- Chapter 12 Assemble-to-Order, Make-to-Order, and Quick Response with Reactive Capacity 256
- 12.1 Evaluating and Minimizing the Newsvendor's Demand-Supply Mismatch Cost 257
- 12.2 When Is the Mismatch Cost High? 259
- 12.3 Reducing Mismatch Costs with Make-to-Order 262
- 12.4 Quick Response with Reactive Capacity 263
- Unlimited, but Expensive, Reactive Capacity 263
- Limited Reactive Capacity 267
- Chapter 13 Service Levels and Lead Times in Supply Chains: The Order-up-to Inventory Model 283
- 13.1 Medtronic's Supply Chain 284
- 13.2 The Order-up-to Model Design and Implementation 287
- 13.3 The End-of-Period Inventory Level 290
- 13.4 Choosing Demand Distributions 291
- 13.5 Performance Measures 295
- In-Stock and Stockout Probability 295
- Expected Back Order 297
- Fill Rate 298
- Expected On-Hand Inventory 299
- Pipeline Inventory/Expected On-Order Inventory 300
- 13.6 Choosing an Order-up-to Level to Meet a Service Target 300
- An In-Stock Probability Target 301
- A Fill Rate Target 301
- 13.7 Choosing an Appropriate Service Level 304
- 13.8 Controlling Ordering Costs 307
- 13.9 Medtronic Wrap-up 310
- 13.10 Managerial Insights 312
- Chapter 14 Risk-Pooling Strategies to Reduce and Hedge Uncertainty 321
- 14.1 Location Pooling 321
- Pooling Medtronic's Field Inventory 322
- Medtronic's Distribution Center(s) 326
- Electronic Commerce 328
- 14.2 Product Pooling 330
- 14.3 Lead Time Pooling: Consolidated Distribution and Delayed Differentiation 336
- Consolidated Distribution 336
- Delayed Differentiation 341
- 14.4 Capacity Pooling with Flexible Manufacturing 344
- Chapter 15 Revenue Management with Capacity Controls 357
- 15.1 Revenue Management and Margin Arithmetic 357
- 15.2 Protection Levels and Booking Limits 359
- 15.3 Overbooking 365
- 15.4 Implementation of Revenue Management 367
- Demand Forecasting 368
- Dynamic Decisions 368
- Variability in Available Capacity 368
- Reservations Coming in Groups 368
- Effective Segmenting of Customers 368
- Multiple Fare Classes 369
- Software Implementation 369
- Variation in Capacity Purchase: Not All Customers Purchase One Unit of Capacity 369
- Chapter 16 Supply Chain Coordination 377
- 16.1 The Bullwhip Effect: Causes and Consequences 377
- Order Synchronization 380
- Order Batching 382
- Trade Promotions and Forward Buying 383
- Reactive and Overreactive Ordering 386
- Shortage Gaming 387
- 16.2 Bullwhip Effect: Mitigating Strategies 388
- Sharing Information 389
- Smoothing the Flow of Product 389
- Eliminating Pathological Incentives 390
- Using Vendor-Managed Inventory 390
- 16.3 Incentive Conflicts in a Sunglasses Supply Chain 392
- 16.4 Buy-Back Contracts 395
- 16.5 More Supply Chain Contracts 401
- Quantity Discounts 401
- Options Contracts 401
- Revenue Sharing 401
- Quantity Flexibility Contracts 402
- Price Protection 402
- Appendix A Statistics Tutorial 406
- Appendix C Evaluation of the Loss Function 427
- Appendix D Equations and Approximations 430
- Appendix E Solutions to Selected Practice Problems 437
- Index of Key "How to" Exhibits 474
- Summary of Key Notation and Equations 475.
- Notes:
- Includes index.
- Local Notes:
- Acquired for the Penn Libraries with assistance from the Rosengarten Family Fund.
- ISBN:
- 9780073525167
- 0073525162
- OCLC:
- 191732546
- Online:
- Publisher description
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