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A framework for collaborative planning, forecasting and replenishment (CPFR): state of the art
Panahifar, Farhad; Heavey, Cathal; Byrne, P.J.; Fazlollahtabar, Hamed
Purpose– Although many papers purport the significant value attributable to supply chain performance from the use of Collaborative Planning, Forecasting and Replenishment (CPFR), the question of ‘what are the main constructs and efficient framework for successful implementation of CPFR?’ remains largely unanswered. This question will be addressed by identifying and analysing the main constructs for successful implementation of CPFR. This paper attempts first to seek answers to this question. Second, to review the scope and value of CPFR using a devised state-of-the-art taxonomy for the classification of selected bibliographical references and third, to develop a conceptual framework by identifying areas which need more research. Design/methodology/approach– The method underlying this paper followed the steps of a systematic literature review process outlined by Soni and Kodali (2011). The review is based on a total of 93 papers published from 1998 to 2013 on CPFR. Findings– Four main constructs for successful implementation of CPFR have been identified: CPFR enablers, CPFR barriers, trading partner selection and incentive alignment. The findings indicate that there is a need for better understanding of the amount and level of information sharing as an important function of CPFR implementation. The paper also illustrates a number of shortcomings in the current literature and provides suggestions to guide future research on implementing CPFR in different industries. Practical implications– This paper is of interest to both academicians and practitioners as it helps to better understand the concept and role of CPFR in supply chain integration and its implementation results, enablers and inhibitors. The proposed framework in this paper can be used to give insight for future research and practice. Originality/value– The paper offers a framework for the review of previous research on CPFR and identifies the most important shortcomings that need to be addressed in future research. In addition, this review is both greater in scope than previous reviews and is broader in its subject focus.
Keyword(s): Management; Supply chain management; Information sharing; CPFR implementation; Collaboration; Collaborative Planning; Forecasting and Replenishment (CPFR); CPFR barriers
Publication Date:
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Panahifar, Farhad, Heavey, Cathal, Byrne, P.J. ORCID: 0000-0002-4446-1509 <> and Fazlollahtabar, Hamed (2015) A framework for collaborative planning, forecasting and replenishment (CPFR): state of the art. Journal of Enterprise Information Management (previously Logistics Information Management), 28 (6). pp. 838-871. ISSN 1741-0398
Publisher(s): Emerald
File Format(s): application/pdf
Related Link(s):,
First Indexed: 2015-10-15 05:05:07 Last Updated: 2020-11-26 06:35:23