Items related to Principles of Operations Management with Tutorials
Synopsis
A short, non-technical introduction to operations management, this text covers most mathematical techniques, including decision-making tools (decision trees), linear programming, transportation modelling, learning curves, waiting line models and simulation. In this edition there is increased focus on the growing service sector, with chapters on operation strategy, supply chain management, and "just-in-time" systems. The text also covers up-to date topics, such as re-engineering, global competition, open (vitual) organizations, finite scheduling, teams, and employee empowerment. POM for Windows software is available with this text.
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From the Publisher
This is a brief (14 chapters), four color, quantitatively non-threatening book for the Operations Management course. Six tutorials on quantitative topics are included at the end of the book.
From the Back Cover
Key Benefit: This book is designed as a brief, non-technical introduction to operations management. Key Topics: Most mathematical techniques are covered in the chapter supplements. Also, covers decision making tools (decision trees), linear programming, transportation modeling, learning curves, waiting line models, and simulation. Market: For those interested in production and operations management.
"About this title" may belong to another edition of this title.
- PublisherPrentice Hall
- Publication date1997
- ISBN 10 0132647710
- ISBN 13 9780132647717
- BindingHardcover
- LanguageEnglish
- Edition number2
- Number of pages640
- Rating
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Principles of Operations Management with Tutorials
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Prentice Hall (edition 2nd), 1997
ISBN 10: 0132647710
ISBN 13: 9780132647717
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Principles of Operations Management with Tutorials
Published by
Prentice Hall College Div, 1996
ISBN 10: 0132647710
ISBN 13: 9780132647717
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Principles of Operations Management with Tutorials
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Principles of Operations Management with Tutorials (Prentice Hall Series in Decision Sciences. Production and Operations Management)
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Principles of Operations Management (Prentice Hall Series in Decision Sciences)
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