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  • A new model for ranking suppliers in the presence of both undesirable and non-discretionary outputs

    Author(s)
    Noorizadeh, Abdollah
    Mahdiloo, Mahdi
    Saen, Reza Farzipoor
    Griffith University Author(s)
    Mahdiloo, Mahdi
    Year published
    2014
    Metadata
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    Abstract
    Data envelopment analysis (DEA) can be used for supplier selection problem due to its multiple criteria nature. In suppliers' evaluation, there might be some factors, which are beyond the control of their management, that are needed to be modelled in an appropriate way. Also, there are some situations in which some factors are undesirable and they are favourable to be decreased. The aim of this paper is to propose a model for evaluation of suppliers' performance in the presence of both undesirable and non-discretionary outputs. This model can rank efficient suppliers by a super-efficiency DEA model. A numerical example has ...
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    Data envelopment analysis (DEA) can be used for supplier selection problem due to its multiple criteria nature. In suppliers' evaluation, there might be some factors, which are beyond the control of their management, that are needed to be modelled in an appropriate way. Also, there are some situations in which some factors are undesirable and they are favourable to be decreased. The aim of this paper is to propose a model for evaluation of suppliers' performance in the presence of both undesirable and non-discretionary outputs. This model can rank efficient suppliers by a super-efficiency DEA model. A numerical example has sought to demonstrate that the proposed model is actually applicable.
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    Journal Title
    International Journal of Services and Operations Management
    Volume
    17
    Issue
    3
    DOI
    https://doi.org/10.1504/IJSOM.2014.059560
    Subject
    Panel Data Analysis
    Business and Management
    Marketing
    Publication URI
    http://hdl.handle.net/10072/65413
    Collection
    • Journal articles

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