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Article
Collaborative Planning, Forecasting and Replenishment: Demand Planning in Supply Chain Management
International Journal of Information Technology and Management
  • Hokey Min
  • Vincent Wen-Bin Yu, Missouri University of Science and Technology
Abstract

Recognising the value of information sharing among supply chain partners, a growing number of firms have expressed keen interest in jointly forecasting customer demand and co-managing business functions. In particular, such interest sparked the rapid development and implementation of Collaborative Planning, Forecasting and Replenishment (CPFR) that was proven to be successful in minimising safety stocks, improving order fill rates, increasing sales, and reducing customer response time. Despite increasing popularity, key drivers for the successful development and implementation of CPFR have not been fully understood by practitioners and academicians alike. This paper unveils the invisible challenges and opportunities for adopting and implementing CPFR. Also, it provides an overview of CPFR in comparison to other alternative forecasting techniques such as agent-based forecasting and focus forecasting, while synthesising the past evolutions and future trends of CPFR in a supply chain setting.

Department(s)
Business and Information Technology
Keywords and Phrases
  • CPFR,
  • SCM,
  • Collaborative Planning,
  • Demand Planning,
  • Forecasting,
  • Information Sharing,
  • Replenishment,
  • Supply Chain Management
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2008 Inderscience, All rights reserved.
Publication Date
1-1-2008
Publication Date
01 Jan 2008
Disciplines
Citation Information
Hokey Min and Vincent Wen-Bin Yu. "Collaborative Planning, Forecasting and Replenishment: Demand Planning in Supply Chain Management" International Journal of Information Technology and Management (2008) ISSN: 1461-4111
Available at: http://works.bepress.com/vincent-yu/6/