Operations and Supply Chain Management 2026 EverGreen Release By F. Robert Jacobs, Richard B. Chase
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- Pages
- 769
- File size
- 18.38 MB
- Format
- Digital PDF
- Course
- Business
- Category
- eBook[PDF]
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About this ebook
Operations and Supply Chain Management: 2026 Release (often referred to as part of McGraw Hill's modern "EverGreen" continuous updating model) by F. Robert Jacobs and Richard B. Chase is the premier textbook for mastering modern business operations. Released in January 2026, this 768-page book delivers data-driven analytics, cutting-edge corporate sustainability practices, and real-world service industry case studies. [1, 2]
Core Book Specifications
- Publisher: McGraw Hill Higher Education
- Publication Date: January 7, 2026
- Standard ISBN-13: 978-1266157394
- International Edition (ISE) ISBN-13: 978-1266083211
- Key Focus Areas: Supply chain analytics, risk mitigation, and digital transformation [1, 2, 3, 4, 5]
Structured Table of Contents
The textbook is divided into four highly organized operational sections: [, 2]
Section 1: Strategy, Products, and Capacity
- 1. Introduction to Operations and Supply Chain Management
- 2. Strategy and Corporate Sustainability
- 3. Design of Products and Services
- 4. Project Management Fundamentals
- 5. Strategic Capacity Management (Includes 5S: Investment Analysis)
- 6. Learning Curves and Productivity []
Section 2: Manufacturing and Service Processes
- 7-13. Covers manufacturing tech, layout planning, service/health care ops, simulation, process analysis/consulting, and quality control. []
Section 3: Supply Chain Processes
- 14-16. Focuses on lean systems, logistics, and global sourcing/risk management. [, 2]
Section 4: Supply and Demand Planning and Control
- 17-22. Covers IoT, ERP, data analytics, forecasting, sales planning (with Excel Solver), inventory, MRP, and scheduling. [, 2]
Major Themes in the 2026 Release
- Risk Mitigation: Strategies for avoiding global supply chain bottlenecks and disruptions.
- Data & Analytics: Practical Excel formulas and Solver modeling to tie operational choices directly to data.
- Digitalization: Deeper integration of IoT data tracking, cloud ERP infrastructure, and smart technology. [, 2, 3, 4]
File included
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18.38 MB
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