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| Title: | Collaborative planning, forecasting and replenishment: demand planning in supply chain management |
| Author (s): | Min, Hokey Yu, Vincent (Wen-Bin) |
| Department/Lab Affiliations: | Business & Information Technology Information Science & Technology |
| Keywords: | CPFR SCM collaborative planning demand Planning forecasting information sharing replenishment supply chain management |
| Issue Date: | 2008 |
| Publisher: | Inderscience |
| Citation: | Min, Hokey., and Yu, Vincent(Wen-Bin). "Collaborative Planning, Forecasting and Replenishment: Demand Planning in Supply Chain Management." International Journal of Information Technology and Management, vol. 7, no. 1, (2008). |
| 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. |
| Type: | Article - Journal text |
| In Title: | International Journal of Information Technology and Management |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. Pre-print: author cannot archive; Post-print: author can archive; FULL COPYRIGHT INFORMATION: |
| Publisher URL: | |
| Link to this page: |
| title | Collaborative planning, forecasting and replenishment: demand planning in supply chain management |
| contributor.author | Min, Hokey |
| contributor.author | Yu, Vincent (Wen-Bin) |
| contributor.deptlab | Business & Information Technology |
| contributor.deptlab | Information Science & Technology |
| subject | CPFR |
| subject | SCM |
| subject | collaborative planning |
| subject | demand Planning |
| subject | forecasting |
| subject | information sharing |
| subject | replenishment |
| subject | supply chain management |
| date.issued | 2008 |
| publisher | Inderscience |
| identifier.citation | Min, Hokey., and Yu, Vincent(Wen-Bin). "Collaborative Planning, Forecasting and Replenishment: Demand Planning in Supply Chain Management." International Journal of Information Technology and Management, vol. 7, no. 1, (2008). |
| identifier.pub.URI | |
| description.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. |
| type | Article - Journal |
| type.DCMIType | text |
| type.status | Postprint |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| rights | Pre-print: author cannot archive; Post-print: author can archive; |
| rights.URI | |
| rights.URI | |
| rights.URI | |
| relation.isPartOf | International Journal of Information Technology and Management |
| date.accessioned | 2007-04-11T17:00:48Z |
| date.available | 2008-04-16T18:46:00Z |
| identifier.persist.URI |