9780132163927

Operations Management Flexible Version

by ;
  • ISBN13:

    9780132163927

  • ISBN10:

    0132163926

  • Edition: 10th
  • Format: Paperback
  • Copyright: 12/27/2010
  • Publisher: Pearson

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Summary

A broad, practical introduction to operations, reinforced with an extensive collection of practice problems. Operations Managementpresents a broad introduction to the field of operations in a realistic and practical manner, while offering the largest and most diverse collection of problems on the market. The problems found in this text also contain ample support-found in the book#x19;s solved-problems, worked examples, and myomlab, Pearson#x19;s new online homework and tutorial system. The Flexible Edition of Operations Managementcontains a separate student lecture guide with all of the end-of-chapter problems and sections for taking notes. This edition has also been thoroughly updated to reflect operations management today-and now features myomlab, Pearson#x19;s online homework and tutorial system.

Table of Contents

Part I. Introduction to Operations Management
Chapter 1. Operations and Productivity
Chapter 2. Operations Strategy in a Global Environment
Chapter 3. Project Management
Chapter 4. Forecasting
Part II. Designing Operations
Chapter 5. Design of Goods and Services
Chapter 6. Managing Quality
Supplement 6. Statistical Process Control
Chapter 7. Process Strategy
Supplement 7. Capacity and Constraint Management
Chapter 8. Location Strategies
Chapter 9. Layout Strategies
Chapter 10. Human Resources, Job Design, and Work Measurement
Part III. Managing Operations
Chapter 11. Supply Chain Management
Supplement 11. Outsourcing as a Supply Chain Strategy
Chapter 12. Inventory Management
Chapter 13. Aggregate Planning
Chapter 14. Material Requirements Planning (MRP) and ERP
Chapter 15. Short-Term Scheduling
Chapter 16. JIT and Lean Operations
Chapter 17. Maintenance and Reliability
Part IV. Quantitative Modules


Module A. Decision-Making Tools
Module B. Linear Programming
Module C. Transportation Models
Module D. Waiting-Line Models
Module E. Learning Curves
Module F. Simulation

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