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

Van Pelt Library TS155 .C13 2013
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LIBRA TS155 .C13 2013
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Lippincott Library - Reserve Desk TS155 .C13 2013
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Format:
Book
Author/Creator:
Cachon, Gérard.
Contributor:
Terwiesch, Christian.
Alumni and Friends Memorial Book Fund.
Language:
English
Subjects (All):
Production management.
Physical Description:
xvii, 507 pages : illustrations ; 27 cm
Edition:
Third edition.
Place of Publication:
New York, NY : McGraw-Hill, [2013]
Summary:
In two previous editions, Cachon and Terwiesch, Matching Supply with Demand: An Introduction to Operations Management provided a new framework for learning and understanding the key dynamics and drivers of operations management as well as linking those concepts to strategy and management. Continuing this successful model, the new third edition demonstrates how to evaluate arid to transform business processes to increase the competitive advantage of the firm. 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.
This new edition includes substantial updates and improvements, touching almost every chapter of the book. The changes can be broken up into three distinct new categories:
Three new chapters: These include Project Management, Sustainability, and Business Model Innovation-which together provide broadened and state of .the art coverage.
Update of data and case examples: Since the appearance of the second edition the competitive dynamic landscape has affected companies and industries and new business models have been implemented. To respond to the need to stay current, the authors have updated data and case examples throughout the book.
Streamlining of existing content: Content has been streamlined in some sections within the third edition for easier flow and understanding for students. The innovative student/instructor website (www.mhhexom/cachon_terwiesch3e) has also been updated and enhanced. The authors have also updated their website (www.cachon-terwiesch.net). Book jacket.
Contents:
Chapter 1 Introduction 1
1.1 Learning Objectives and Framework 3
1.2 Road Map of the Book 6
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 Inventoiy 23
Seasonal Inventory 24
Cycle Inventory 25
Decoupling Inventory/Buffers 26
Safety Inventory 26
2.6 The Product-Process Matrix 27
2.7 Summary 29
2.8 Further Reading 29
2.9 Practice Problems 29
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
3.7 Summary 48
3.8 Practice Problems 50
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
4.6 Summary 72
4.7 Further Reading 74
4.8 Practice Problems 74
Chapter 5 Project Management 80
5.1 Motivating Example 80
5.2 Critical Path Method 82
5.3 Computing Project Completion Time 83
5.4 Finding the Critical Path and Creating a Gantt Chart 84
5.5 Computing Slack Time 85
5.6 Dealing with Uncertainty 88
Random Activity Times 88
Potential Iteration/Rework Loops 91
Decision Tree/Milestones/Exit Option 91
Unknown Unknowns 92
5.7 How to Accelerate Projects 92
5.8 Literature/Further Reading 94
5.9 Practice Problems 94
Chapter 6 The Link between Operations and Finance 96
6.1 Paul Downs Cabinetmakers 97
6.2 Building an ROIC Tree 98
6.3 Valuing Operational Improvements 103
6.4 Analyzing Operations Based on Financial Data 106
6.5 Summary 111
6.6 Further Reading 112
6.7 Practice Problems 112
Chapter 7 Batching and Other Flow Interruptions: Setup Times and the Economic Order Quantity Model 114
7.1 The Impact of Setups on Capacity 115
7.2 Interaction between Batching and Inventory 118
7.3 Choosing a Batch Size in the Presence of Setup Times 121
7.4 Setup Times and Product Variety 124
7.5 Setup Time Reduction 125
7.6 Balancing Setup Costs with Inventory Costs: The EOQ Model 126
7.7 Observations Related to the Economic Order Quantity 130
7.8 Other Flow Interruptions: Buffer or Suffer 134
7.9 Summary 136
7.10 Further Reading 137
7.11 Practice Problems 137
Chapter 8 Variability and Its Impact on Process Performance: Waiting Time Problems 144
8.1 Motivating Example: A Somewhat Unrealistic Call Center 145
8.2 Variability: Where It Comes From and How It Can Be Measured 147
8.3 Analyzing an Arrival Process 149
Stationary Arrivals 151
Exponential Interarrival Times 153
Nonexponential Interarrival Times 154
Summary: Analyzing an Arrival Process 155
8.4 Processing Time Variability 155
8.5 Predicting the Average Waiting Time for the Case of One Resource 157
8.6 Predicting the Average Waiting Time for the Case of Multiple Resources 161
8.7 Service Levels in Waiting Time Problems 164
8.8 Economic Implications: Generating a Staffing Plan 165
8.9 Impact of Pooling: Economies of Scale 168
8.10 Priority Rules in Waiting Lines 172
Processing-Time-Dependent Priority Rules 172
Processing-Time-Independent Priority Rules 172
8.11 Reducing Variability 173
Ways to Reduce Arrival Variability 173
Ways to Reduce Processing Time Variability 174
8.12 Summary 176
8.13 Further Reading 177
8.14 Practice Problems 177
Chapter 9 The Impact of Variability on Process Performance: Throughput Losses 183
9.1 Motivating Examples: Why Averages Do Not Work 183
9.2 Ambulance Diversion 184
9.3 Throughput Loss for a Simple Process 185
9.4 Customer Impatience and Throughput Loss 189
9.5 Several Resources with Variability in Sequence 191
The Role of Buffers 192
9.6 Summary 194
9.7 Further Reading 195
9.8 Practice Problems 195
Chapter 10 Quality Management, Statistical Process Control, and Six-Sigma Capability 198
10.1 Controlling Variation: Practical Motivation 199
10.2 The Two Types of Variation 200
10.3 Constructing Control Charts 202
10.4 Control Chart Example from a Service Setting 205
10.5 Design Specifications and Process Capability 208
10.6 Attribute Control Charts 210
10.7 Robust Process Design 211
10.8 Impact of Yields and Defects on Process Flow 214
Rework 215
Eliminating Flow Units from the Process 216
Cost Economics and Location of Test Points 217
Defects and Variability 218
10.9 A Process for Improvement 218
10.10 Further Reading 220
10.11 Practice Problems 220
Chapter 11 Lean Operations and the Toyota Production System 222
11.1 The History of Toyota 222
11.2 TPS Framework 224
11.3 The Seven Sources of Waste 225
11.4 JIT: Matching Supply with Demand 228
Achieve One-Unit-at-a-Time Flow 228
Produce at the Rate of Customer Demand 229
Implement Pull Systems 229
11.5 Quality Management 231
11.6 Exposing Problems through Inventory Reduction 233
11.7 Flexibility 234
11.8 Standardization of Work and Reduction of Variability 236
11.9 Human Resource Practices 236
11.10 Lean Transformation 237
11.11 Further Reading 239
11.12 Practice Problems 239
Chapter 12 Betting on Uncertain Demand: The Newsvendor Model 240
12.1 O'Neill Inc. 241
12.2 An Introduction to the Newsvendor Model 243
12.3 Constructing a Demand Forecast 243
12.4 The Expected Profit-Maximizing Order Quantity 250
12.5 Performance Measures 254
Expected Lost Sales 255
Expected Sales 256
Expected Leftover Inventory 257
Expected Profit 257
In-Stock Probability and Stockont Probability 258
12.6 Choosing an Order Quantity to Meet a Service Objective 259
12.7 Managerial Lessons 259
12.8 Summary 262
12.9 Further Reading 263
12.10 Practice Problems 263
Chapter 13 Assemble-to-Order, Make-to-Order, and Quick Response with Reactive Capacity 270
13.1 Evaluating and Minimizing the Newsvendor's Demand-Supply Mismatch Cost 271
13.2 When Is the Mismatch Cost High? 273
13.3 Reducing Mismatch Costs with Make-to-Order 276
13.4 Quick Response with Reactive Capacity 277
13.5 Summary 281
13.6 Further Reading 282
13.7 Practice Problems 282
Chapter 14 Service Levels and Lead Times in Supply Chains: The Order-up-to Inventory Model 287
14.1 Medtronic's Supply Chain 288
14.2 The Order-up-to Model Design and Implementation 291
14.3 The End-of-Period Inventory Level 294
14.4 Choosing Demand Distributions 295
14.5 Performance Measures 299
In-Stock and Stockout Probability 299
Expected Back Order 301
Expected On-Hand Inventory 302
Pipeline Inventory/Expected On-Order Inventory 303
14.6 Choosing an Order-up-to Level to Meet a Service Target 304
14.7 Choosing an Appropriate Service Level 304
14.8 Controlling Ordering Costs 308
14.9 Managerial Insights 311
14.10 Summary 313
14.11 Further Reading 314
14.12 Practice Problems 314
Chapter 15 Risk-Pooling Strategies to Reduce and Hedge Uncertainty 319
15.1 Location Pooling 319
Pooling Medtronic's Field Inventory 320
Medtronic's Distribution Center(s) 324
Electronic Commerce 325
15.2 Product Pooling 326
15.3 Lead Time Pooling: Consolidated Distribution and Delayed Differentiation 333
Consolidated
Distribution 333
Delayed Differentiation 338
15.4 Capacity Pooling with Flexible Manufacturing 341
15.5 Summary 347
15.6 Further Reading 348
15.7 Practice Problems 348
Chapter 16 Revenue Management with Capacity Controls 353
16.1 Revenue Management and Margin Arithmetic 353
16.2 Protection Levels and Booking Limits 355
16.3 Overbooking 361
16.4 Implementation of Revenue Management 363
Demand Forecasting 363
Dynamic Decisions 364
Variability in Available Capacity 364
Reservations Coming in Groups 364
Effective Segmenting of Customers 364
Multiple Fare Classes 364
Software Implementation 365
Variation in Capacity Purchase: Not All Customers Purchase One Unit of Capacity 365
16.5 Summary 367
16.6 Further Reading 368
16.7 Practice Problems 368
Chapter 17 Supply Chain Coordination 373
17.1 The Bullwhip Effect: Causes and Consequences 373
Order Synchronization 376
Order Batching 377
Trade Promotions and Forward Buying 378
Reactive and Overreactive Ordering 382
Shortage Gaming 383
17.2 Bullwhip Effect: Mitigating Strategies 384
Sharing Information 384
Smoothing the Flow of Product 385
Eliminating Pathological Incentives 385
Using Vendor-Managed Inventory 386
The Countereffect to the Bullwhip Effect: Production Smoothing 388
17.3 Incentive Conflicts in a Sunglasses Supply Chain 389
17.4 Buy-Back Contracts 392
17.5 More Supply Chain Contracts 395
Quantity Discounts 395
Options Contracts 395
Revenue Sharing 396
Quantity Flexibility Contracts 396
Price Protection 397
17.6 Summary 397
17.7 Further Reading 398
17.8 Practice Problems 398
Chapter 18 Sustainable Operations 401
18.1 Sustainability: Background 401
Energy 401
Water 404
Material 404
Agriculture, Fishing, and Forestry 404
People 405
18.2 Sustainability: The Business Case 405
18.3 Sustainability and Operations Management 406
18.4 Summary 409
18.5 Further Reading 409
18.6 Practice Problems 409
Chapter 19 Business Model Innovation 410
19.1 Zipcar and Netflix 410
19.2 Innovation and Value Creation 412
19.3 The Customer Value Curve: The Demand Side of Business Model Innovation 414
19.4 Solutions: The Supply Side of Business Model Innovation 417
Process Timing 418
Process Location 419
Process Standardization 421
19.5 Unsuccessful Business Model Innovation 422
19.6 Summary 423
19.7 Further Reading 423.
Notes:
Includes bibliographical references and index.
Local Notes:
Acquired for the Penn Libraries with assistance from the Alumni and Friends Memorial Book Fund.
ISBN:
9780073525204
0073525200
OCLC:
761334758

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