Matching Supply with Demand: An Introduction to Operations Management

Matching Supply with Demand: An Introduction to Operations Management

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Description

Gerard Cachon and Christian Terwiesch, Matching Supply with Demand: An Introduction to Operations Management, 3e is the most authoritative, cutting-edge book for operations management MBAs. The book demands rigorous analysis on the part of students without requiring consistent use of sophisticated mathematical modeling to perform it. When the use of quantitative tools or formal modeling is indicated, it is only to perform the necessary analysis needed to inform and support a practical business solution. The guiding principle in the development of Matching Supply with Demand has been "real operations, real solutions." "Real operations" means that most of the chapters in this book are written from the perspective of a specific company so that the material in this text will come to life by discussing it in a real-world context. "Real solutions" means that equations and models do not merely provide students with mathematical gymnastics for the sake of an intellectual exercise.
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Product details

  • Hardback | 528 pages
  • 203 x 262 x 25mm | 1,170g
  • MCGRAW-HILL Professional
  • New York, NY, United States
  • English
  • 3rd edition
  • 200 Illustrations, unspecified
  • 0073525200
  • 9780073525204
  • 793,301

Table of contents

Chapter 1IntroductionChapter 2The Process View of the OrganizationChapter 3Understanding the Supply Process: Evaluating Process CapacityChapter 4Estimating and Reducing Labor CostsChapter 5Project ManagementChapter 6The Link between Operations and FinanceChapter 7Batching and Other Flow Interruptions: Set-up Times and the Economic Order Quantity ModelChapter 8Variability and Its Impact on Process Performance: Waiting Time ProblemsChapter 9The Impact of Variability on Process Performance: Throughput LossesChapter 10Quality Management, Statistical Process Control, and Six Sigma CapacityChapter 11Lean Operations and the Toyota Production SystemChapter 12Betting On Uncertain Demand: The Newsvendor ModelChapter 13Assemble-to-order, Make-To-Order and Quick Response with Reactive CapacityChapter 14Service Levels and Lead Times in Supply Chains: The Order Up-to Inventory ModelChapter 15Risk-Pooling Strategies to Reduce and Hedge UncertaintyChapter 16Revenue Management with Capacity ControlsChapter 17 Supply Chain CoordinationChapter 18Sustainable OperationsChapter 19Business Model InnovationAppendixA: Statistics TutorialB: TablesC: Evaluation of the Loss Function D: Equations and ApproximationsE: Solutions to Selected Practice ProblemsGlossaryReferencesIndex of "How to" exhibitsSummary of key equationsIndex
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About Gerard Cachon

Professor Cachon is the Fred R. Sullivan Professor of Operations, Information, and Decisons at The Wharton School of the University of Pennsylvania, where he teaches a variety of undergraduate, MBA, executive, and Ph.D. courses in operations management. His research focuses on operations strategy, and in particular, on how operations are used to gain competitive advantage.
His administrative responsibilities have included Chair of the Operations, Information and Decisions Department, Vice Dean of Strategic Initiatives for the Wharton School, and President of the Manufacturing and Service Operations Society. He has been named an INFORMS Fellow and a Distinguished Fellow of the Manufacturing and Service Operations Society.
His articles have appeared in Harvard Business Review, Management Science, Marketing Science, Manufacturing & Service Operations Management, and Operations Research. He is the former editor-in-chief of Manufacturing & Service Operations Management, and Management Science. He has consulted with a wide range of companies, including 4R Systems, Ahold, Americold, Campbell Soup, Gulfstream Aerospace, IBM, Medtronic, and ONeill.
Before joining The Wharton School in July 2000, Professor Cachon was on the faculty at the Fuqua School of Business, Duke University. He received a Ph.D. from The Wharton School in 1995.
He is an avid proponent of bicycle commuting (and other environmentally friendly modes of transportation). Along with his wife and four children he enjoys hiking, scuba diving and photography.



Professor Terwiesch is the Andrew M. Heller Professor at the Wharton School of the University of Pennsylvania. He also is a professor in Whartons Operations and Information Management Department as well as a Senior Fellow at the Leonard Davis Institute for Health Economics. His research on operations management, research and development, and innovation management appears in many of the leading academic journals, including Management Science, Operations Research, Marketing Science, and Organization Science. He has received numerous teaching awards for his courses in Whartons MBA and executive education programs. Professor Terwiesch has researched with and consulted for various organizations, including a project on concurrent engineering for BMW, supply chain management for Intel and Medtronic, and product customization for Dell. Most of his current work relates to health care and innovation management. In the health care arena, some of Professor Terwieschs recent projects include the analysis of capacity allocation for cardiac surgery procedures at the University of CaliforniaSan Francisco and at Penn Medicine, the impact of emergency room crowding on hospital capacity and revenues (also at Penn Medicine), and the usage of intensive care beds in the Childrens Hospital of Philadelphia. In the innovation area, recent projects include the management of the clinical development portfolio at Merck, the development of open innovation systems, and the design of patient-centered care processes in the Veterans Administration hospital system.
Professor Terwieschs latest book, Innovation Tournaments, outlines a novel, process-based approach to innovation management. The book was featured by BusinessWeek, the Financial Times, and the Sloan Management Review.
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Rating details

121 ratings
3.66 out of 5 stars
5 27% (33)
4 34% (41)
3 23% (28)
2 10% (12)
1 6% (7)
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