Operations Management: Sustainability and Supply Chain Management, Global Edition (14TH)

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Operations Management: Sustainability and Supply Chain Management, Global Edition (14TH)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 928 p.
  • 言語 ENG
  • 商品コード 9781292444833
  • DDC分類 658.5

Full Description

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 organization.

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. The resources help you better understand concepts important to today's operations management professionals.

Contents

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



Supplement 5: Sustainability in the Supply Chain



Managing Quality



Supplement 6: Statistical Process Control



Process Strategies



Supplement 7: Capacity and Constraint Management



Location Strategies
Layout Strategies
Human Resources, Job Design, and Work Measurement

PART 3: MANAGING OPERATIONS

Supply Chain Management



Supplement 11: Supply Chain Management Analytics



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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