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OM 4 (with Review Cards and Decision Sciences & Operations Management CourseMate with eBook Printed Access Card) / Edition 4 available in Paperback
38.47 In Stock
Created through a "student-tested, faculty-approved" review process with input from more than 150 students and faculty, Collier/Evans' OM4 provides a streamlined introduction to the core concepts, techniques, and applications of contemporary operations management. This concise, engaging, and accessible text includes a full suite of integrated learning tools--including flashcards, cases, datasets, games, and quizzes--in a convenient and affordable package perfect for today's diverse learners. OM4 provides the latest examples featuring companies students will recognize from the news as well as videos for every chapter, case studies and end-of-chapter problems with exciting new material online. Five additional chapters online enable readers to delve further into the quantitative aspects of operations management.
About the Author
David A. Collier is the Alico Chair of Operations Management in the Lutgert College of Business at Florida Gulf Coast University. He holds a B.S. in Mechanical Engineering, an M.B.A. from the University of Kentucky, and a Ph.D. in Production and Operations Management from The Ohio State University. Dr. Collier has authored five books on service and operations management and is the recipient of numerous awards for outstanding journal articles. He has also written and published eight invited book chapters, has seen seven of his cases reprinted in major marketing and operations management textbooks, and has more than 80 referenced publications. A 2004 citation review found that more than 250 journal articles have referenced Dr. Collier's research. Dr. Collier served on the 1991 and 1992 Board of Examiners for the Malcolm Baldrige National Quality Award, and he has worked with organizations such as AT&T, J.P. Morgan Chase Bank, Child Health Corporation of America, Emery Worldwide, Motorola, John Glenn Institute at The Ohio State University, and the United States Postal Service. He served as faculty leader for a Six Sigma Black Belt Blended (Clicks and Bricks) Executive Program at the Fisher College of Business and has taught in the Executive M.B.A. program at the University of Warwick in England and several other international programs. His current research interest is sports analytics.
James R. Evans is Professor Emeritus in the Department of Operations, Business Analytics and Information Systems in the Lindner College of Business at the University of Cincinnati. He has served as president of the Decision Sciences Institute and served for 11 years on the board of examiners and panel of judges for the Malcolm Baldrige National Quality Award. He has been editor of the Quality Management Journal, published by the American Society for Quality and has served on editorial boards of numerous other journals. Dr. Evans has published 100 refereed papers and more than 50 editions of leading books. During the annual Quality Congress in May 2004, the American Society for Quality presented Dr. Evans and co-author Dr. Bill Lindsay with the Philip B. Crosby Medal for writing THE MANAGEMENT AND CONTROL OF QUALITY. The Crosby medal was presented "for authoring a distinguished book contributing significantly to the extension of the philosophy and application of the principles, methods, and techniques of quality management."
Table of Contents
1. Good, Services, and Operations Management. 2. Value Chains. 3. Measuring Performance in Operations. 4. Operations Strategy. 5. Technology and Operations Management. 6. Goods and Service Design. 7. Process Selection, Design, and Analysis. 8. Facility and Work Design. 9. Supply Chain Design. 10. Capacity Management. 11. Forecasting and Demand Planning. 12. Managing Inventories. 13. Resource Management. 14. Operations Scheduling and Sequencing. 15. Quality Management. 16. Quality Control and SPC. 17. Lean Operating Systems. 18. Project Management. Supplementary Chapters. A: Work Measurement, Learning Curves, and Standards. B: Queuing Analysis. C: Modeling Using Linear Programming. D: Simulation. E: Decision Analysis.