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  • A multiple criteria approach to two-stage data envelopment analysis

    Author(s)
    Mahdiloo, M
    Jafarzadeh, AH
    Saen, RF
    Tatham, P
    Fisher, R
    Griffith University Author(s)
    Fisher, Ron J.
    Tatham, Peter H.
    Mahdiloo, Mahdi
    Year published
    2016
    Metadata
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    Abstract
    Two-stage data envelopment analysis (DEA) models are commonly used in the evaluation and benchmarking of sustainable operations and processes across multiple research fields. To date, however, little attention has been given to the unrealistic weight distribution and weak discrimination power in the modeling and evaluation of the two-stage sustainable operations when using two-stage DEA models. In order to overcome this methodological weakness, we use the multiple criteria DEA (MCDEA) approach in the evaluation of the two-stage processes. The outcome is a multiple criteria two-stage DEA model which yields more realistic ...
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    Two-stage data envelopment analysis (DEA) models are commonly used in the evaluation and benchmarking of sustainable operations and processes across multiple research fields. To date, however, little attention has been given to the unrealistic weight distribution and weak discrimination power in the modeling and evaluation of the two-stage sustainable operations when using two-stage DEA models. In order to overcome this methodological weakness, we use the multiple criteria DEA (MCDEA) approach in the evaluation of the two-stage processes. The outcome is a multiple criteria two-stage DEA model which yields more realistic weights for the inputs and outputs and thus has better discrimination power than traditional two-stage DEA models. The developed model is tested and validated by assessing the sustainable design performances of a sample of car product designs.
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    Journal Title
    Transportation Research Part D: Transport and Environment
    Volume
    46
    DOI
    https://doi.org/10.1016/j.trd.2016.04.008
    Subject
    Urban and regional planning
    Panel data analysis
    Publication URI
    http://hdl.handle.net/10072/142657
    Collection
    • Journal articles

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