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Matching supply with demand : an introduction to operations management / Gérard Cachon, Christian Terwiesch.

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LIBRA HB241 .C33 2009
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Lippincott Library HB241 .C33 2009
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Lippincott Library HB241 .C33 2009
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Format:
Book
Author/Creator:
Cachon, Gérard.
Contributor:
Terwiesch, Christian.
Rosengarten Family Fund.
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

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