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E1FFIRS01.qxd 8/5/10 11:37 AM Page i

E1FFIRS01.qxd 8/5/10 11:37 AM Page ii

Operations

Management

Creating Value Along the Supply Chain

JOHN WILEY & SONS, INC.

Bernard W. Taylor III

R. B. Pamplin Professor

Virginia Polytechnic Institute and State University

7TH EDITION

Roberta S. Russell

Professor

Virginia Polytechnic Institute and State University

E1FFIRS01.qxd 8/5/10 11:37 AM Page iii

VP & EXECTUIVE PUBLIHSER George Hoffman

EXECUTIVE EDITOR Lise Johnson

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CENTER COVER PHOTO: © Brigitte Wegner/Getty Images, Inc.

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COVER AND INTERIOR DESIGN James O’Shea

This book was set in Times by Thomson Digital and printed and bound by Courier/Kendallville.

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Copyright © 2011 John Wiley and Sons, Inc. All rights reserved. No part of this publication, stored in a retrieval

system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or

otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without either

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ISBN-13 9780470525906

Printed in the United States of America

10 9 8 7 6 5 4 3 2 1

To my mother, Margaret Snead, with appreciation

for your love and support.

To my mother, Jean V. Taylor,

and in memory of my father, Bernard W. Taylor, Jr.,

with love and appreciation.

Opener Photo Credits

Repeat chocolate chip © Geoffrey Holman/iStockphoto, Chapter 1 © Yin Yang/iStockphoto,

Chapter 2 © ECKEHARD SCHULZ/AP/Wide World Photos, Chapter 3 © H. Mark Weidman Photography/

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Garcia/iStockphoto, Chapter 7 © Lyn Hughes/Corbis, Chapter 8 © “Andersen Ross/Getty Images, Inc.”,

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West/ Alamy, Chapter 12 © “Spencer Platt/Getty Images, Inc.”, Chapter 13 © Julian Nieman/Alamy,

Chapter 14 © Richard Levine/Alamy, Chapter 15 © H-Gall/iStockphoto, Chapter Opener 16 © mediablitzimages

Limited/Alamy, Chapter 17 © Ei Katsumata/Alamy

E1FFIRS01.qxd 8/5/10 11:37 AM Page iv

Bernard W. Taylor III is the Pamplin Professor of Man￾agement Science and Head of the Department of Business In￾formation Technology in the Pamplin College of Business at

Virginia Polytechnic Institute and State University. He re￾ceived a Ph.D. and an M.B.A. from the University of Georgia

and a B.I.E. from the Georgia Institute of Technology. He is

the author of the book Introduction to Management Science

(10th ed.) and co-author of Management Science (4th ed.),

both published by Prentice Hall. Dr. Taylor has published

over 80 articles in such journals as Operations Research,

Management Science, Decision Sciences, IIE Transactions,

Journal of the Operational Research Society, Computers and

Operations Research, Omega, and the International Journal

of Production Research, among others. His paper in Decision

Sciences (with P. Y. Huang and L. P. Rees) on the Japanese

kanban production system received the Stanley T. Hardy

Award for its contribution to the field of production and oper￾ations management. He has served as President of the Deci￾sion Sciences Institute (DSI) as well as Program Chair,

Council Member, Vice President, Treasurer, and as the Editor

of Decision Line, the newsletter of DSI. He is a Fellow of

DSI and a recipient of their Distinguished Service Award. He

is a former President, Vice-President, and Program Chair of

the Southeast Decision Sciences Institute and a recipient of

their Distinguished Service Award. He teaches management

science and production and operations management courses

at both the undergraduate and graduate level. He has received

the University Certificate of Teaching Excellence on four

occasions, the Pamplin College of Business Certificate of

Teaching Excellence Award, and the Pamplin College of

Business Ph.D. Teaching Excellence Award at Virginia Tech.

Roberta S. Russell is a Professor of Business Information

Technology in the Pamplin College of Business at Virginia

Polytechnic Institute and State University. She received a

Ph.D. from Virginia Polytechnic Institute and State Univer￾sity, an M.B.A. from Old Dominion University, and a B.S.

degree from Virginia Polytechnic Institute and State Univer￾sity. Dr. Russell’s primary research and teaching interests are

in the areas of operations and supply chain management, ser￾vice operations, scheduling, and quality. She has published

in Decision Sciences, IIE Transactions, International Journal

of Production Research, Journal of Operations Management,

IEEE Transactions, Annals of Operations Research, Comput￾ers and Operations Research, and others. She is also co￾author of the Prentice Hall book Service Management and

Operations. Dr. Russell is a member of DSI, ASQ, POMS,

and IIE and a certified fellow of APICS. She is past Vice

President of POMS, past President of the Southwest Virginia

Chapter of APICS and has held numerous offices in South￾east DSI. She has received the Pamplin College of Business

Certificate of Teaching Excellence, the University Certificate

of Teaching Excellence, and the MBA Association’s Out￾standing Professor Award. She serves on the Education and

Research Foundation Board of APICS, and is a certified sup￾ply chain management professional (CSCMP). Her consult￾ing experience with IBM, AT&T, Dupont, Courtaulds, Xaloy,

Northrup Grumman Shipbuilding and others brings a practi￾cal perspective into the classroom.

About the Authors

Bernard W. Taylor III and Roberta S. Russell

E1FFIRS01.qxd 8/5/10 11:37 AM Page v

PART ONE: Operations Management 1

1. Introduction to Operations and Supply Chain Management 1

S1. Operational Decision-Making Tools: Decision Analysis 33

2. Quality Management 54

3. Statistical Process Control 108

S3. Operational Decision-Making Tools: Acceptance Sampling 148

4. Product Design 156

5. Service Design 189

6. Processes and Technology 226

7. Capacity and Facilities Design 257

S7. Operational Decision-Making Tools: Facility Location Models 297

8. Human Resources 315

S8. Operational Decision-Making Tools: Work Measurement 348

9. Project Management 366

PART TWO: Supply Chain Management 420

10. Supply Chain Management Strategy and Design 420

11. Global Supply Chain Procurement and Distribution 450

S11. Operational Decison-Making Tools: Transportation

and Transshipment Models 475

12. Forecasting 495

13. Inventory Management 553

S13. Operational Decision-Making Tools: Simulation 590

14. Sales and Operations Planning 607

S14. Operational Decision-Making Tools: Linear Programming 645

15. Resource Planning 678

16. Lean Systems 720

17. Scheduling 755

APPENDIX A—Normal Curve Areas 789

SOLUTIONS TO SELECTED ODD-NUMBERED PROBLEMS 790

INDEX 798

Brief Contents

E1FTOC01.qxd 8/5/10 2:30 PM Page vi

Decision Making With Probabilities 38

Expected Value of Perfect Information 38

Sequential Decision Trees 39

Summary 41

Summary of Key Formulas 42

Summary of Key Terms 42

Solved Problems 42

Problems 42

Case Problem S1.1–Whither an MBA at Strutledge? 51

Case Problem S1.2–Transformer Replacement at

Mountain States Electric Service 51

Case Problem S1.3–Evaluating Projects at Nexcom

Systems 52

References 53

2. Quality Management 54

■ Quality Management at Mars 54

What Is Quality? 55

Quality from the Customer’s Perspective 56

Dimensions of Quality for Manufactured Products 56

Dimensions of Quality for Services 56

Quality from the Producer’s Perspective 58

A Final Perspective on Quality 59

Quality Management System 59

The Evolution of Quality Management 59

■ Applying Deming’s PDCA Cycle in Baldrige

Award-Winning Schools and Hospitals 62

Quality Tools 62

Process Flowcharts 64

Cause-and-Effect Diagrams 64

Checksheets and Histograms 65

Pareto Analysis 65

Scatter Diagrams 66

Process Control Charts and Statistical Quality Control 67

TQM and QMS 67

The Focus of Quality Management—Customers 68

Quality Management in the Supply Chain 68

Measuring Customer Satisfaction 69

■ Measuring Customer Satisfaction with

“Voice of the Customer (VoC)” at Two

Baldrige Award Winners 70

The Role of Employees in Quality Improvement 70

Kaizen and Continuous Improvement 71

Quality Circles 72

Process Improvement Teams 72

■ Customer Focus and Employee Empowerment

in a Baldrige Award-Winning City 73

Quality in Services 73

PART ONE:

OPERATIONS MANAGEMENT 1

1. Introduction to Operations and

Supply Chain Management 1

■ Operations and Supply Chain Management

for Chocolate 1

■ What Do Operations and Supply Chain

Managers Do? 3

The Operations Function 2

■ OM Dialogue: Mark Jackson, Marketing Manager 6

The Evolution of Operations and Supply Chain Management 6

Globalization 9

The China Factor 10

■ The Balancing Act at New Balance 12

India, The World’s Service Provider 13

Productivity and Competitiveness 14

Strategy and Operations 17

Primary Task 17

Core Competencies 18

Order Winners and Order Qualifiers 18

Positioning the Firm 19

Competing on Cost 19

Competing on Speed 19

■ Trader Joe’s Unique Strategy 20

Competing on Quality 21

Competing on Flexibility 21

Strategy Deployment 21

Policy Deployment 21

Balanced Scorecard 23

Operations Strategy 25

Organization of this Text 25

Learning Objectives of this Course 26

Summary 26

Summary of Key Terms 27

Questions 27

Problems 28

Case Problem 1.1–Visualize This 30

Case Problem 1.2–Whither an MBA at Strutledge? 30

Case Problem 1.3–Weighing Options at the Weight Club 31

References 31

1.

SUPPLEMENT

Operational Decision-Making Tools:

Decision Analysis 33

Decision Analysis With and Without Probabilities 33

Decision Making Without Probabilities 34

Decision Analysis With Excel 36

Decision Analysis With OM Tools 37

Contents

E1FTOC01.qxd 8/5/10 2:30 PM Page vii

viii Contents

SPC Applied to Services 111

Where to Use Control Charts 112

Control Charts 112

Control Charts for Attributes 113

p-Chart 114

■ Using Control Charts for Improving

Health-Care Quality 116

c-Chart 117

Control Charts for Variables 119

Mean (x

–) Chart 119

Range (R-) Chart 122

Using x

–- and R- Charts Together 123

Control Chart Patterns 124

Sample Size Determination 125

SPC with Excel and OM Tools 126

Process Capability 127

Process Capability Measures 130

■ Design Tolerances at Harley-Davidson

Company 131

Process Capability with Excel and OM Tools 132

Summary 133

Summary of Key Formulas 133

Summary of Key Terms 133

Solved Problems 134

Questions 135

Problems 135

Case Problem 3.1–Quality Control at Rainwater

Brewery 145

Case Problem 3.2–Quality Control at Grass, Unlimited 146

Case Problem 3.3–Improving Service Time at Dave’s

Burgers 147

References 147

3. SUPPLEMENT

Operational Decision-Making Tools:

Acceptance Sampling 148

Single-Sample Attribute Plan 149

Producer’s and Consumer’s Risks 149

The Operating Characteristic Curve 150

Developing a Sampling Plan with OM Tools 151

Average Outgoing Quality 152

Double- and Multiple-Sampling Plans 153

Summary 154

Summary of Key Terms 154

Solved Problem 154

Questions 155

Problems 155

4. Product Design 156

■ Product Design at Mars 156

The Design Process 157

Idea Generation 158

Feasibility Study 159

■ Pixar’s Creativity 160

Rapid Prototyping and Concurrent Design 160

Quality Attributes in Services 74

■ Ritz-Carlton Hotels: Two-Time Baldrige National

Quality Award Winner 75

Six Sigma 76

The Six Sigma Goal—3.4 DPMO 76

■ Motorola’s Six Sigma Quality 77

The Six Sigma Process 78

■ Six Sigma Highlights 78

Improvement Projects 79

The Breakthrough Strategy: DMAIC 79

■ North Shore University Hospital: A Six Sigma

Project Example 79

Black Belts and Green Belts 80

Design for Six Sigma 80

Lean Six Sigma 80

The Bottom Line—Profitability 82

The Cost of Quality 83

The Cost of Achieving Good Quality 84

The Cost of Poor Quality 84

Measuring and Reporting Quality Costs 85

The Quality–Cost Relationship 87

The Effect of Quality Management on Productivity 87

Productivity 87

Measuring Product Yield and Productivity 88

The Quality–Productivity Ratio 90

Quality Awards 91

The Malcolm Baldrige Award 91

Other Awards for Quality 93

■ Baldrige National Quality Award Winners:

What It Takes 93

ISO 9000 94

Standards 94

Certification 95

Implications of ISO 9000 for U.S. Companies 95

■ ISO 9001 Certification at Monarcas Morelia 96

ISO Registrars 97

Summary 98

Summary of Key Formulas 98

Summary of Key Terms 98

Solved Problems 99

Questions 99

Problems 102

Case Problem 2.1–Designing a Quality-Management

Program for the Internet at D4Q 104

Case Problem 2.2–Quality Management at State University 105

Case Problem 2.3–Quality Problems at the Tech Bookstores 105

Case Problem 2.4–Product Yield at Continental Luggage

Company 107

References 107

3. Statistical Process Control 108

■ Statistical Process Control at Mars and

Hershey’s 108

The Basics of Statistical Process Control 109

SPC in Quality Management 110

Quality Measures: Attributes and Variables 110

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Contents ix

Service Improvement Analysis 207

Solution of the Single-Server Model with Excel 209

Advanced Single-Server Models 209

Multiple-Server Model 210

The Basic Multiple-Server Model 210

Summary 214

Summary of Key Terms 214

Summary of Key Formulas 215

Solved Problems 215

Questions 216

Problems 217

Case Problem 5.1–Streamlining the Refinancing Process 222

Case Problem 5.2–Herding the Patient 223

Case Problem 5.3–The College of Business Copy

Center 223

Case Problem 5.4–Northwoods Backpackers 224

References 225

6. Processes and Technology 226

■ Processes and Technology for Chocolate

Manufacturing 226

Process Planning 228

Outsourcing 228

Process Selection 229

Process Selection with Breakeven Analysis 230

Process Plans 235

Process Analysis 235

Process Flowcharts 236

■ Making Fast Food Faster 238

Process Innovation 241

Steps in Process Innovation 241

■ OM Dialogue: Anastasia Thatcher, Business

Process Manager 244

Technology Decisions 245

Financial Justification of Technology 245

A Technology Primer 246

Summary 249

Summary of Key Terms 249

Summary of Key Formulas 249

Solved Problems 249

Questions 250

Problems 251

Case Problem 6.1–A Manager’s Woes 253

Case Problem 6.2–Wrong Meds, Again! 254

Case Problem 6.3–The DPA Protocol 255

References 255

7. Capacity and Facilities Design 257

■ Capacity and Facilities Design at the

New England Confectionery Company 257

Capacity Planning 258

Facilities 261

Objectives of Facility Layout 261

■ Bank of America’s Towering Achievement in

Green Design 261

Form Design 161

■ Apple’s Design Process 162

Functional Design 163

Reliability 163

Maintainability 164

Usability 165

Production Design 165

Final Design and Process Plans 167

Technology in Design 167

Collaborative Product Design Systems 168

Design Quality Reviews 169

■ Jugaad, Design for the Times 170

Design for Environment 170

Green Sourcing 172

Green Manufacture 172

Green Consumption 173

Recycling and Re-Use 173

Quality Function Deployment 173

■ Nike’s Trash Talking Shoes 174

Design for Robustness 179

Summary 181

Summary of Key Terms 181

Summary of Key Formulas 182

Solved Problems 182

Questions 183

Problems 183

Case Problem 4.1–Greening Product Design 186

Case Problem 4.2–Lean and Mean 187

References 188

5. Service Design 189

■ Service Design at Hershey’s 189

The Service Economy 190

Characteristics of Services 191

The Service Design Process 193

■ Redbox Brings Self-Service to Movie Rentals 193

The Service-Process Matrix 195

Tools for Service Design 196

Service Blueprinting 198

Front Office and Back-Office Activities 199

Servicescapes 199

Quantitative Techniques 199

Waiting Line Analysis for Service Improvement 200

Elements of Waiting Line Analysis 200

Elements of a Waiting Line 200

The Calling Population 200

The Arrival Rate 201

Service Times 202

Queue Discipline and Length 202

Basic Waiting Line Structures 202

Operating Characteristics 204

Traditional Cost Relationships in Waiting Line

Analysis 204

The Psychology of Waiting 205

Waiting Line Models 206

The Basic Single-Server Model 206

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x Contents

8. Human Resources 315

■ Human Resources at Hershey’s 315

Human Resources and Quality Management 317

The Changing Nature of Human Resources Management 318

The Assembly Line 318

Limitations of Scientific Management 319

Employee Motivation 319

■ Human Resources Management at Baldrige

National Quality Award-Winning Companies 320

Contemporary Trends in Human Resources Management 321

Job Training 321

Cross Training 321

■ Employee Training at Kyphon, Inc., and Triage

Consulting Group 322

Job Enrichment 322

Empowerment 323

Teams 323

■ Reducing Costs by Going Green in the

Workplace 324

Flexible Work Schedules 324

Alternative Workplaces and Telecommuting 324

Temporary and Part-Time Employees 325

■ Telecommuting at Capital One 326

Employee Compensation 326

■ Part-Time Employees at UPS 327

Types of Pay 327

Gainsharing and Profit Sharing 327

Managing Diversity in the Workplace 328

■ English in the Workplace 328

Affirmative Action and Equal Opportunity 329

Diversity Management Programs 329

■ A Commitment to Diversity at UPS and Kodak 330

Global Diversity Issues 331

■ Developing a Skilled Workforce in China 331

Job Design 332

The Elements of Job Design 333

Task Analysis 333

Worker Analysis 333

Environmental Analysis 334

Ergonomics 334

Technology and Automation 334

Job Analysis 335

Process Flowchart 335

Worker-Machine Chart 336

Motion Study 337

Learning Curves 338

Determining Learning Curves with Excel 341

Learning Curves with OM Tools 342

Summary 342

Summary of Key Formulas 342

Summary of Key Terms 343

Solved Problems 343

Questions 343

Problems 344

Case Problem 8.1–Maury Mills 345

References 347

Basic Layouts 262

Process Layouts 262

Product Layouts 264

Fixed-Position Layouts 266

Designing Process Layouts 266

Block Diagramming 266

■ The Health Benefits of Good Layout 267

Relationship Diagramming 269

Computerized Layout Solutions 271

■ Urban Outfitters’ New Distribution Facility 272

Designing Service Layouts 273

Designing Product Layouts 274

Line Balancing 274

Computerized Line Balancing 278

Hybrid Layouts 278

Cellular Layouts 278

Advantages of Cellular Layouts 280

Disadvantages of Cellular Layouts 281

Flexible Manufacturing Systems 282

Mixed-Model Assembly Lines 282

Summary 284

Summary of Key Formulas 285

Summary of Key Terms 285

Solved Problems 286

Questions 287

Problems 287

Case Problem 7.1–Workout Plus 293

Case Problem 7.2–Photo Op–Please Line Up 294

Case Problem 7.3–The Grab ’n Go Café 294

References 296

7. SUPPLEMENT 7

Operational Decision-Making Tools:

Facility Location Models 297

Types of Facilities 297

Site Selection: Where to Locate 298

Global Supply Chain Factors 299

Regional and Community Location Factors in

the United States 299

Location Incentives 300

Geographic Information Systems 301

Location Analysis Techniques 302

Location Factor Rating 302

Location Factor Rating with Excel and OM Tools 303

Center-of-Gravity Technique 304

Center-of-Gravity Technique with Excel and OM Tools 305

Load-Distance Technique 305

Load-Distance Technique with Excel and OM Tools 307

Summary 308

Summary of Key Formulas 308

Summary of Key Terms 308

Solved Problems 309

Questions 309

Problems 310

Case Problem S7.1–Selecting a European Distribution Center

Site for American International Automotive Industries 314

References 314

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Contents xi

Probabilistic Time Estimates 389

■ An Interstate Highway Construction Project

in Virginia 392

CPM/PERT Analysis with OM Tools 393

Probabilistic Network Analysis 393

Microsoft Project 396

PERT Analysis with Microsoft Project 398

■ The Corps of Engineers Hurricane Katrina

New Orleans Restoration Project 399

Project Crashing and Time-Cost Tradeoff 400

Project Crashing 401

The General Relationship of Time and Cost 403

Summary 404

Summary of Key Formulas 405

Summary of Key Terms 405

Solved Problems 406

Questions 407

Problems 408

Case Problem 9.1–The Bloodless Coup Concert 417

Case Problem 9.2–Moore Housing Contractors 418

References 419

PART TWO:

SUPPLY CHAIN MANAGEMENT 420

10. Supply Chain Management Strategy

and Design 420

■ Supply Chain Management Strategy and

Design at Mars 420

Supply Chains 421

Supply Chains for Service Providers 423

Value Chains 425

The Management of Supply Chains 425

Supply Chain Uncertainty and Inventory 425

The Bullwhip Effect 426

Risk Pooling 427

■ Eliminating the Bullwhip Effect at Philips

Electronics 427

“Green” Supply Chains 428

■ Going Green at Walmart 428

Sustainability and Quality Management 429

■ Achieving Sustainability While Reducing

Costs and Increasing Profits 430

Information Technology: A Supply Chain Enabler 431

Electronic Business 431

Electronic Data Interchange 432

■ Strategic Supply Chain Design at 7-Eleven

in Japan and the United States 432

Bar Codes 433

Radio Frequency Identification 433

The Internet 435

■ Supply Chain Management at Gaylord Hotels 436

Build-To-Order (BTO) 437

Supply Chain Integration 437

Collaborative Planning, Forecasting, and

Replenishment 437

8. SUPPLEMENT 8

Operational Decision-Making Tools:

Work Measurement 348

Time Studies 348

Stopwatch Time Study 349

Number of Cycles 353

Elemental Time Files 354

Predetermined Motion Times 354

Work Sampling 356

Summary 358

Summary of Key Formulas 358

Summary of Key Terms 358

Solved Problems 359

Questions 359

Problems 360

Case Problem S8.1–Measuring Faculty Work Activity

at State University 364

References 365

9. Project Management 366

■ Project Management at Mars 366

Project Planning 367

Elements of a Project Plan 369

Project Return 369

The Project Team 370

■ Cross-Cultural Project Teams 370

The Project Manager 371

Scope Statement 371

Work Breakdown Structure 371

Responsibility Assignment Matrix 372

■ Green Projects on the Increase Around the

World 372

Global and Diversity Issues in Project Management 373

■ Project Management Diversity in China 374

Project Scheduling 375

The Gantt Chart 376

Project Control 377

Time Management 377

Cost Management 377

Quality Management 377

Performance Management 377

Communication 378

■ Reconstructing the Pentagon after 9/11 378

Enterprise Project Management 379

CPM/PERT 379

The Project Network 380

AOA Network 380

AON Network 381

■ British Airport Authority’s Terminal 5 Project

at Heathrow Airport 382

The Critical Path 382

Activity Scheduling 383

Activity Slack 386

■ A Couple of Iconic Building Renovation Projects 388

Probabilistic Activity Times 389

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xii Contents

Questions 473

Case Problem 11.1–Somerset Furniture Company’s

Global Supply Chain–Continued 474

11. SUPPLEMENT 11

Operational Decision-Making Tools:

Transportation and Transshipment

Models 475

The Transportation Model 475

Solution of the Transportation Model with Excel 477

The Transshipment Model 480

Solution of the Transshipment Problem with Excel 481

Summary 482

Summary of Key Terms 482

Solved Problems 482

Problems 483

Case Problem S11.1–Stateline Shipping and Transport

Company 492

Case Problem S11.2–Global Supply Chain Management

at Cantrex Apparel International 493

References 494

12. Forecasting 495

■ Forecasting at Hershey’s 495

The Strategic Role of Forecasting in Supply Chain

Management 496

Supply Chain Management 496

■ Sharing Forecasts at Boeing and Alcoa 498

Quality Management 498

Strategic Planning 499

■ Supply Chain Forecasting at Heineken USA 499

Components of Forecasting Demand 499

Time Frame 499

Demand Behavior 500

Forecasting Methods 501

Forecasting Process 502

■ Forecasting at Dell 503

Time Series Methods 503

Moving Average 504

Weighted Moving Average 506

Exponential Smoothing 507

Adjusted Exponential Smoothing 510

Linear Trend Line 512

Seasonal Adjustments 514

■ The CPFR Process at Bayer Consumer Care

in the EU 516

Forecast Accuracy 517

Mean Absolute Deviation 517

Cumulative Error 519

Forecast Control 520

■ Forecasting Market Demand at NBC 523

Time Series Forecasting Using Excel 524

Forecasting with OM Tools 526

Regression Methods 526

Linear Regression 527

Correlation 529

Supply Chain Management (SCM) Software 438

Measuring Supply Chain Performance 439

Key Performance Indicators 439

■ Apple’s Top-Ranked Supply Chain 441

Process Control 441

SCOR 442

Summary 444

Summary of Key Terms 444

Summary of Key Formulas 444

Solved Problems 444

Questions 445

Problems 447

Case Problem 10.1–Somerset Furniture Company’s

Global Supply Chain 448

References 449

11. Global Supply Chain Procurement

and Distribution 450

■ Global Supply Chain Procurement and

Distribution at Hershey’s 450

Procurement 451

Outsourcing 452

E-Procurement 453

E-Marketplaces 454

■ Virtual Manufacturing at Palm Inc. 454

Reverse Auctions 454

Distribution 455

Speed and Quality 455

Internet Companies: Amazon.com 455

■ Achieving Warehouse Efficiency and

Sustainability at Genzyme Corporation 456

Distribution Centers and Warehousing 457

Postponement 457

■ Supply Chain Management at Royal Caribbean 457

Warehouse Management Systems 458

Vendor-Managed Inventory 459

■ Vendor-Managed Inventory (VMI) at Dell 459

Collaborative Logistics 459

Distribution Outsourcing 460

Transportation 460

■ Supply Chain Operations at Food Distributor

Sysco Corporation 462

Internet Transportation Exchanges 463

The Global Supply Chain 463

Obstacles to Global Supply Chain Management 464

Duties, Tariffs, and Global Trading Groups 464

Landed Cost 465

Web-Based International Trade Logistics Systems 465

■ Achieving Global Sustainability at HP in

China 467

Recent Trends in Globalization for U.S. Companies 468

China’s Increasing Role in the Global Supply Chain 468

■ Brazil as a Potential Near Shore Supplier for

the United States 470

Reverse Globalization 470

■ Reverse Globalization at K’NEX 472

Effects of Terrorism on Global Supply Chains 472

Summary of Key Terms 473

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Contents xiii

Solved Problems 580

Questions 582

Problems 582

Case Problem 13.1–The Instant Paper Clip Office

Supply Company 587

Case Problem 13.2–The Texas Gladiators Apparel

Store Case 587

Problem 13.3–Pharr Foods Company 588

References 589

13. SUPPLEMENT 13

Operational Decision-Making Tools:

Simulation 590

Monte Carlo Simulation 590

Computer Simulation with Excel 594

Decision Making with Simulation 596

Areas of Simulation Application 598

Waiting Lines/Service 599

Inventory Management 599

Production and Manufacturing Systems 599

Capital Investment and Budgeting 599

Logistics 599

Service Operations 599

Environmental and Resource Analysis 599

Summary 600

Summary of Key Terms 600

Solved Problems 600

Questions 602

Problems 602

References 606

14. Sales and Operations Planning 607

■ Sales and Operations Planning at

Hershey’s 607

The Sales and Operations Planning Process 608

■ Disney’s Magic Numbers 611

Strategies for Adjusting Capacity 612

Level Production 612

Chase Demand 612

Peak Demand 613

Overtime and Undertime 613

Subcontracting 613

Part-Time Workers 613

■ Meeting Demand for Panettones 613

Backlogs, Backordering, and Lost Sales 614

Strategies for Managing Demand 614

■ The Bullwhip Effect in a Slowdown 615

Quantitative Techniques for Aggregate Planning 616

Pure Strategies 616

General Linear Programming Model 618

Mixed Strategies 619

The Transportation Method 623

Other Quantitative Techniques 623

The Hierarchical Nature of Planning 626

Collaborative Planning 628

Available-to-Promise 628

Regression Analysis with Excel 529

Multiple Regression with Excel 530

■ Forecasting Airport Security Gate Arrivals at

the Transportation Security Administration 533

Summary 534

Summary of Key Formulas 534

Summary of Key Terms 535

Solved Problems 535

Questions 537

Problems 538

Case Problem 12.1–Forecasting at State University 549

Case Problem 12.2–The University Bookstore Student

Computer Purchase Program 549

Case Problem 12.3–Cascades Swim Club 550

Case problem 12.4–Forecasting Passenger Arrivals at the

Gotham International Airport 551

References 552

13. Inventory Management 553

■ Inventory Management at Mars 553

The Role of Inventory in Supply Chain Management 555

The Effects of Information Technology on Inventory

Management 556

Inventory and Quality Management in the Supply Chain 556

The Elements of Inventory Management 557

Demand 557

Inventory Costs 557

Inventory Control Systems 559

Continuous Inventory Systems 559

Periodic Inventory Systems 560

The ABC Classification System 560

■ Inventory Management at Dell 561

■ Determining Supply Chain Strategy

by Evaluating Inventory Costs at

Hewlett-Packard 563

Economic Order Quantity Models 564

The Basic EOQ Model 564

The Production Quantity Model 567

Solution of EOQ Models with Excel 569

Solution of EOQ Models with OM Tools 570

Quantity Discounts 570

Quantity Discounts with Constant Carrying Cost 571

Quantity Discount Model Solution with Excel 573

Reorder Point 573

Safety Stocks 574

Service Level 574

Reorder Point with Variable Demand 575

Determining the Reorder Point with Excel 576

■ Establishing Inventory Safety Stocks at

Kellogg’s 577

Order Quantity for a Periodic Inventory System 577

Order Quantity with Variable Demand 578

Determining the Order Quantity for the Fixed-Period

Model with Excel 578

Summary 579

Summary of Key Formulas 580

Summary of Key Terms 580

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