Course Details

This course is a 45-60-minute video developed and narrated by industry experts. The Definitive Guide videos present an overview of concepts discussed in the corresponding Definitive Guide book of the same title.

CEU Credit: 1

Brian Gibson

Professor of Logistics and Supply Chain Management at the Raymond J. Harbert College of Business


Dr. Gibson teaches logistics and supply chain management courses in Auburn's undergraduate, graduate, and distance learning programs.. He has co-authored 25+ articles and is a frequent presenter at industry conferences. Recent articles have appeared in the International Journal of Logistics: Research and Applications, International Journal of Logistics Management, Journal of Business Logistics, and Supply Chain Management Review. Dr. Gibson participates in executive education, corporate training, and consulting projects. He is a curriculum planner and instructor for Accenture's Supply Chain Academy.

Dr. Gibson has also participated in the development and delivery of training programs for multiple organizations, including IKEA, Ryder Integrated Logistics, Saturn, Transfreight, Unilever, and WC Bradley. Dr. Gibson is involved in the Council of Supply Chain Management Professionals as a project researcher, roundtable advisor, and conference presenter. He is also on the executive committee of the Distribution Business Management Association. He also serves as an editorial review board member or reviewer for five publications.


  • Raymond J. Harbert College of Business 2004 Research Award
  • Raymond J. Harbert College of Business MBA Teaching Award
  • 2002 McCartney Teaching Award
  • Raymond J. Harbert College of Business Outreach Award 2002
  • DSI overview
  • How DSI differs from S&OP
  • How to recognize the symptoms of failures to sufficiently integrate demand and supply
  • DSI implementations
  • Approaching demand forecasting as a management process
  • Selecting and applying qualitative and quantitative forecasting techniques
  • How to reflect market intelligence in forecasts
  • Measure forecasting performance
  • Implement state-of-the-art demand forecasting systems
  • Manage demand reviews
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