• DocumentCode
    695001
  • Title

    A Study on CPFR Implementation Critical Factors for the Automotive Spare Part Industry

  • Author

    Panahifar, Farhad ; Ghadimi, Pezhman ; Azadnia, Amir Hossein ; Heavey, Cathal ; Byrne, P.J.

  • Author_Institution
    Enterprise Res. Centre, Univ. of Limerick, Limerick, Ireland
  • fYear
    2013
  • fDate
    10-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Collaborative planning, forecasting and replenishment (CPFR) is a cooperative management approach that helps to improve the abilities of supply chain members to increase their revenue and profit. Despite promising results reported by companies that have adopted CPFR, the implementation of CPFR appears to have encountered some obstacles. It is proposed here that a lack of appropriate detailed information concerning the critical success factors (CSFs) in CPFR implementation is an important reason for this. Although, the CSFs for CPFR implementation vary due to differences in industries and characteristics of supply chain, it is vital that managers of firms are aware of these factors prior to the adoption of CPFR with trading partners. This paper goes some way toward, narrowing of this gap by identifying CSFs in the automotive spare part industry. In order to complete this task, a comprehensive review of related CSF literature was conducted with factors recorded and classified. Following this, experts´ views and perceptions were applied to identify relevant CSFs. Fuzzy Extent Analytical Hierarchy Process (FEAHP) approach was then applied to weight selected elements and sub elements. Finally, the top ten critical factors for CPFR implementation were identified. The results of this study are expected to provide specific decision making principals for automotive spare part manufacturers to adoption of CPFR. To our knowledge, this is the first study that analyses CPFR success factors in automotive industry.
  • Keywords
    analytic hierarchy process; automobile industry; automotive components; enterprise resource planning; fuzzy set theory; CPFR implementation critical factors; CPFR success factors; CSF literature; FEAHP; automotive spare part industry; automotive spare part manufacturers; collaborative planning; cooperative management; critical success factors; decision making principals; fuzzy extent analytical hierarchy process; supply chain members; Automotive engineering; Collaboration; Educational institutions; Industries; Information security; Supply chains; Technological innovation; Automotive industry; CPFR implementation; FEAHP; critical factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling and Simulation (EUROSIM), 2013 8th EUROSIM Congress on
  • Conference_Location
    Cardiff
  • Type

    conf

  • DOI
    10.1109/EUROSIM.2013.11
  • Filename
    7004908