Principles of Operations Management

by Heizer, Jay; Render, Barry

• ISBN13: 9780132968362
• ISBN10: 0132968363
• Edition: 9th
• Format: Paperback
• Copyright: 2013-01-29
• Publisher: Pearson

Summary

Directed primarily toward undergraduate business college/university majors, this text also provides practical content to current and aspiring industry professionals.

Principles of Operations Management, 9/e  presents 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’s solved-problems and worked examples.

 

Note: this is the standalone book, if you want the book/access card order the ISBN below:

 

0133130754 / 9780133130751 Principles of Operations Management Plus NEW MyOMLab with Pearson eText -- Access Card Package

Package consists of:   

0132968363 / 9780132968362 Principles of Operations Management

0132972549 / 9780132972543 NEW MyOMLab with Pearson eText -- Access Card -- for Principles of Operations Mangement

 

Table of Contents

Part I. Introduction to Operations Management

1. Operations and Productivity

2. Operations Strategy in a Global Environment

3. Project Management

4. Forecasting

 

Part II. Designing Operations

5. Design of Goods and Services

S5. Sustainability in the Supply Chain

6. Managing Quality

S6. Statistical Process Control

7. Process Strategy

Capacity and Constraint Management

8. Location Strategies

9. Layout Strategies

10. Human Resources, Job Design, and Work Measurement

 

Part III. Managing Operations

11. Supply-Chain Management

S11. Supply-Chain Analytics

12. Inventory Management

13. Aggregate Planning and S&OP

14. Material Requirements Planning (MRP) and ERP

15. Short-Term Scheduling

16. Just-in-Time, TPS, and Lean Operations

17. Maintenance and Reliability

 

 Online Tutorials

1. Statistical Tools for Managers

2. Acceptance Sampling

3. The Simplex Method of Linear Programming

4. The MODI and VAM Methods of Solving Transportation Problems

5. Vehicle Routing and Scheduling