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A hybrid approach for supplier selection based on revised data envelopment analytic hierarchy process

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  • Remica Aggarwal
  • Sanjeet Singh

Abstract

For most managers, purchasing decisions are key decisions in the achievement of business organisation's strategic objectives. Appropriate supplier selection is necessary as it fulfils these important objectives of the organisation by maximising overall value to the purchaser, reducing uncertainty in supply, and by forming a long term, reliable relationship between buyers and suppliers. Supplier selection being affected by several conflicting factors requires an appropriate multi-criteria decision making approach. One of the recent approaches used for supplier selection is a hybrid data envelopment analytic hierarchy process (DEAHP) approach. However, this approach suffers from serious drawbacks as it uses counter intuitive priority vectors for inconsistent pair wise comparison matrices and also at times, it generate illogical weights for consistent pair wise comparison matrices as well. The objective of this paper is to present a revised DEAHP (RDEAHP) approach to overcome these drawbacks of DEAHP. The uniqueness of the research lies in the application of RDEAHP approach for supplier selection problem.

Suggested Citation

  • Remica Aggarwal & Sanjeet Singh, 2018. "A hybrid approach for supplier selection based on revised data envelopment analytic hierarchy process," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 31(4), pages 478-509.
  • Handle: RePEc:ids:ijores:v:31:y:2018:i:4:p:478-509
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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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