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

Author

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  • Abdollah Noorizadeh
  • Mahdi Mahdiloo
  • Reza Farzipoor Saen

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 sought to demonstrate that the proposed model is actually applicable.

Suggested Citation

  • Abdollah Noorizadeh & Mahdi Mahdiloo & Reza Farzipoor Saen, 2014. "A new model for ranking suppliers in the presence of both undesirable and non-discretionary outputs," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 17(3), pages 280-293.
    • Handle: RePEc:ids:ijsoma:v:17:y:2014:i:3:p:280-293
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    Cited by:

    1. Pankaj Dutta & Bharath Jaikumar & Manpreet Singh Arora, 2022. "Applications of data envelopment analysis in supplier selection between 2000 and 2020: a literature review," Annals of Operations Research, Springer, vol. 315(2), pages 1399-1454, August.

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