Developing retailer selection factors for collaborative planning, forecasting and replenishment

Purpose – Selecting an appropriate partner is a vital and strategic decision-making process in any supply chain collaboration initiative. The purpose of this paper is to introduce and explore the key factors considered by manufacturers in the selection of an appropriate retailer(s) for collaboration and collaborative planning, forecasting and replenishment (CPFR) implementation and the relationships between these factors. Design/methodology/approach – A comprehensive literature review and experts’ views are applied to identify the main retailer selection and evaluation factors for CPFR implementation. A fuzzy decision-making trial and evaluation laboratory approach is then used to rank and analysis the interaction among identified factors. The findings are finally evaluated using a case study from a high-tech industry. Findings – The most important partner selection factors comprising of five dimensions and 24 factors are introduced. Of the identified criteria, three factors: manufacturer’s familiarity wi...

[1]  S. Cavusgil,et al.  Selecting foreign distributors: An expert systems approach , 1995 .

[2]  Mohammad Asif Salam,et al.  Partner Selection Factors for Successful CPFR Implementation Using Fuzzy DEMATEL , 2015 .

[3]  R. Piplani,et al.  Value of information exchange and synchronization in a multi-tier supply chain , 2007 .

[4]  James J. H. Liou,et al.  Developing a hybrid multi-criteria model for selection of outsourcing providers , 2010, Expert Syst. Appl..

[5]  Jalal Ashayeri,et al.  Dynamic simulation assessment of collaboration strategies to manage demand gap in high-tech product diffusion , 2010 .

[6]  Yossi Sheffi.  The value of CPFR , 2002 .

[7]  Patricia J. Daugherty,et al.  Is collaboration paying off for firms , 2006 .

[8]  Mohsen Attaran,et al.  Collaborative supply chain management: The most promising practice for building efficient and sustainable supply chains , 2007, Bus. Process. Manag. J..

[9]  S. D. Wu,et al.  Managing Capacity in the High-Tech Industry: A Review of Literature , 2005 .

[10]  Cathal Heavey,et al.  A hybrid approach to the study of CPFR implementation enablers , 2015 .

[11]  Kary Främling,et al.  Collaborative planning forecasting and replenishment: new solutions needed for mass collaboration , 2002 .

[12]  Gülçin Büyüközkan,et al.  Analyzing of CPFR success factors using fuzzy cognitive maps in retail industry , 2012, Expert Syst. Appl..

[13]  Ming-Lang Tseng,et al.  Application of fuzzy DEMATEL to develop a cause and effect model of municipal solid waste management in Metro Manila , 2009, Environmental monitoring and assessment.

[14]  Cathal Heavey,et al.  A framework for Collaborative Planning, Forecasting and Replenishment (CPFR): State of the Art , 2015, J. Enterp. Inf. Manag..

[15]  Chih-Hung Wu,et al.  Fuzzy DEMATEL method for developing supplier selection criteria , 2011, Expert Syst. Appl..

[16]  Micheal J. Kelly,et al.  Managing Alliance Relationships: Key Challenges in the Early Stages of Collaboration , 2002 .

[17]  W. W. C. Chung *,et al.  Collaborative planning, forecasting and replenishment: a case study in copper clad laminate industry , 2005 .

[18]  Y. Washida.  Collaborative structure between Japanese high‐tech manufacturers and consumers , 2005 .

[19]  James T. Lin,et al.  A CPFRR Implementation Methodology Study - XA Carpenter Mechanical Industry Case Study , 2004, Int. J. Electron. Bus. Manag..

[20]  Aaron D. Arndt,et al.  Supply chain collaboration: what's happening? , 2005 .

[21]  Samuel H. Huang,et al.  Comprehensive and configurable metrics for supplier selection , 2007 .

[22]  Cathal Heavey,et al.  ISM analysis of CPFR implementation barriers , 2014 .

[23]  B. S. Sahay.  Supply chain collaboration: the key to value creation , 2003 .

[24]  Hsin-Pin Fu,et al.  A study on factors for retailers implementing CPFR — A fuzzy AHP analysis , 2010 .

[25]  J. Lin,et al.  Determinants of manufacturers' selection of distributors , 2008 .

[26]  James J. H. Liou,et al.  Developing an integrated model for the selection of strategic alliance partners in the airline industry , 2012, Knowl. Based Syst..

[27]  Antonio Márcio Tavares Thomé,et al.  Research synthesis in collaborative planning forecast and replenishment , 2014, Ind. Manag. Data Syst..

[28]  Shu-Chiung Lin,et al.  How R&D management practice affects innovation performance: An investigation of the high-tech industry in Taiwan , 2006, Ind. Manag. Data Syst..

[29]  A. V. D. Ven,et al.  Group Techniques for Program Planning , 1975 .

[30]  S. Gordon,et al.  The Nominal Group Technique: A useful concensus methodology in physiotherapy research , 2004 .

[31]  P. J. Byrne,et al.  The impact of information sharing and forecasting in capacitated industrial supply chains: A case study , 2006 .

[32]  Charles Poirier.  Collaborative Planning, Forecasting, and Replenishment Models , 2003 .

[33]  M. Hitt,et al.  Alliance Management as a Source of Competitive Advantage , 2002 .

[34]  Chi-Jen Lin,et al.  A causal analytical method for group decision-making under fuzzy environment , 2008, Expert Syst. Appl..