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  • Benchmarking suppliers’ performance when some factors play the role of both inputs and outputs: a new development to the slacks-based measure of efficiency

    Author(s)
    Mahdiloo, Mahdi
    Noorizadeh, Abdollah
    Saen, Reza Farzipoor
    Griffith University Author(s)
    Mahdiloo, Mahdi
    Year published
    2014
    Metadata
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    Abstract
    Purpose - The purpose of this paper is to develop a slack-based measure (SBM) model in the presence of dual-role factor. Then it is applied in supplier selection problem. Design/methodology/approach - The developed model in this paper is based on data envelopment analysis (DEA) technique. Findings - The proposed evaluation platform is capable of identifying ill-performing suppliers which seek to future improvement. The findings provide valuable insights for practitioners, as well as academicians, policy makers and also integrate selection criteria under the supply chain. Originality/value - This is the first time that a ...
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    Purpose - The purpose of this paper is to develop a slack-based measure (SBM) model in the presence of dual-role factor. Then it is applied in supplier selection problem. Design/methodology/approach - The developed model in this paper is based on data envelopment analysis (DEA) technique. Findings - The proposed evaluation platform is capable of identifying ill-performing suppliers which seek to future improvement. The findings provide valuable insights for practitioners, as well as academicians, policy makers and also integrate selection criteria under the supply chain. Originality/value - This is the first time that a non-radial DEA model considers dual-role factors. The proposed model does not deal with dual-role factor as a non-discretionary factor. The proposed model considers dual-role factors on both the input and output sides in a similar manner. The proposed model can fully measure the inefficiency of suppliers. The proposed model can give a complete ranking of suppliers.
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    Journal Title
    Benchmarking : an international journal
    Volume
    21
    Issue
    5
    DOI
    https://doi.org/10.1108/BIJ-10-2012-0068
    Subject
    Statistics
    Computer Software
    Business and Management
    Publication URI
    http://hdl.handle.net/10072/66223
    Collection
    • Journal articles

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