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

Published by Pearson (October 16, 2023) © 2023

  • Jay Heizer Texas Lutheran University
  • Barry Render Graduate School of Business, Rollins College
  • Chuck Munson Carson College of Business, Washington State University
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  • 850 homework problems
  • Ethical dilemmas
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For courses in operations management

Operations Management: Sustainability and Supply Chain Management presents a broad introduction to the field of operations in a practical and application-oriented manner. Through detailed behind-the-scenes perspectives on the production of goods and services - from music concerts to e-commerce package delivery, manufacturing an aircraft to 3D printed stakes - this text offers an inside view that helps students gain a true understanding of how operations work within an organisation.

This 14th Edition addresses current trends and practices in operations management, including Industry 4.0 (also known as the Fourth Industrial Revolution), which is transforming the automation, monitoring, and analysis of supply chains through smart technology; and COVID-19 and its impact on global supply chains. 

Samples

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Preview sample pages from Operations Management: Sustainability and Supply Chain Management, Global Edition >

  • PART 1: INTRODUCTION TO OPERATIONS MANAGEMENT
  • Operations and Productivity
  • Operations Strategy in a Global Environment
  • Project Management
  • Forecasting
  • PART 2: DESIGNING OPERATIONS
  • Design of Goods and Services
  • Managing Quality
  • Process Strategies
  • Location Strategies
  • Layout Strategies
  • Human Resources, Job Design, and Work Measurement
  • PART 3: MANAGING OPERATIONS
  • Supply Chain Management
  • Inventory Management
  • Aggregate Planning and S&OP
  • Material Requirements Planning (MRP) and ERP
  • Short-Term Scheduling
  • Lean Operations
  • Maintenance and Reliability
  • PART 4: BUSINESS ANALYTICS MODULES
  • Decision-Making Tools
  • Linear Programming
  • Transportation Models
  • Waiting-Line Models
  • Learning Curves
  • Simulation
  • Applying Analytics to Big Data in Operations Management

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