Operations Management: Sustainability and Supply Chain Management, 14th edition

Published by Pearson (26 July 2022) © 2023

  • Jay Heizer Texas Lutheran University
  • Barry Render Graduate School of Business, Rollins College
  • Chuck Munson Carson College of Business, Washington State University

Loose-Leaf + Paperback

$54.99
ISBN-13: 9780137649556
Operations Management: Sustainability and Supply Chain Management
Published 2022

Details

  • Print edition
  • Access to MyLab®/Mastering®/Revel® not included

This product is expected to ship within 3-6 business days for US and 5-10 business days for Canadian customers.

Title overview

Operations Management: Sustainability and Supply Chain Management focuses on the key strategic decisions of operations managers. The text also provides behind-the-scenes insights into how operations work within an organization.

In this 14th Edition, a wealth of examples, solved problems, homework assignments, cases, and other learning resources help you better understand concepts important to today's operations management professionals.

Table of contents

PART 1: INTRODUCTION TO OPERATIONS MANAGEMENT

  1. Operations and Productivity
  2. Operations Strategy in a Global Environment
  3. Project Management
  4. Forecasting

PART 2: DESIGNING OPERATIONS

  1. Design of Goods and Services
    • Supplement 5: Sustainability in the Supply Chain
  1. Managing Quality
    • Supplement 6: Statistical Process Control
  1. Process Strategies
    • Supplement 7: Capacity and Constraint Management
  1. Location Strategies
  2. Layout Strategies
  3. Human Resources, Job Design, and Work Measurement

PART 3: MANAGING OPERATIONS

  1. Supply Chain Management
    • Supplement 11: Supply Chain Management Analytics
  1. Inventory Management
  2. Aggregate Planning and S&OP
  3. Material Requirements Planning (MRP) and ERP
  4. Short-Term Scheduling
  5. Lean Operations
  6. Maintenance and Reliability

PART 4: BUSINESS ANALYTICS MODULES

  1. Decision-Making Tools
  2. Linear Programming
  3. Transportation Models
  4. Waiting-Line Models
  5. Learning Curves
  6. Simulation
  7. Applying Analytics to Big Data in Operations Management

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