Supply Chain Analytics: Understanding the Business Context addresses an important gap in a thorough education in supply chain management. Numerous texts explicate the various mathematical aspects of supply chain management. This textbook illuminates the qualitative side of supply chain analytics. First, it teaches students to identify and ask relevant questions. Second, it helps students make decisions based on output from analytics algorithms. Through business examples and stories, it shows how to use systems thinking and interdisciplinary understanding to apply analytics-driven insights across the supply chain.
Compelling opening stories and original mini-cases dealing with real-life issues
Interdisciplinary coverage in every chapter, showing how multiple functions are linked through analytics problem solving.
Key terms and concepts highlighted at the end of each chapter
Thorough endnotes to enable deeper dives into concepts
Student-friendly price of $31.65 for an eTextbook and $48.65 for the print version
Chapter 1: A Game Changer
Chapter 2: Transforming Supply Chains
Chapter 3: Barriers to Implementation
Part II: Impact on Supply Chain Levers
Chapter 4: Impact on “Sell”
Chapter 5: Impact on “Make”
Chapter 6: Impact on “Move”
Chapter 7: Impact on “Buy”
Part III: The Framework
Chapter 8: The Roadmap
Chapter 9: Making It Work
Chapter 10: Leading Organizational Change
About the Author
Nada R. Sanders, Ph.D., is Distinguished Professor of Supply Chain Management at the D’Amore-McKim School of Business at Northeastern University, and she holds a Ph.D. from the Ohio State University. She is an internationally recognized thought leader and expert in forecasting and supply chain management. She is author of the book Supply Chain Management: A Global Perspective, in its second edition, and is coauthor of the book Operations Management, in its seventh edition. She was ranked in the top 8 percent of individuals in the field of operations management from a pool of 738 authors and 237 different schools by a study of research productivity in U.S. business schools. Nada is a Fellow of the Decision Sciences Institute, and has served on the Board of Directors of the International Institute of Forecasters (IIF), Decision Sciences Institute (DSI), and the Production Operations Management Society (POMS). Her research focuses on the most effective ways for organizations to use technology to achieve a competitive advantage.