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Application of fuzzy ANP method to select the best supplier in the supply chain

Author

Listed:
  • Habibollah Danai
  • Shahram Hashemnia
  • Rokhshad Ahmadi
  • Seyed Hojjat Bazazzadeh

Abstract

Positive performance of the purchase department has a direct impact on reducing cost and increasing profitability, and survival of the supply chain. One of the major tasks of the purchase department in the supply chain is to evaluate and select suppliers. The process of selecting a suitable supplier among different options and variables is an important task. Inappropriate selection of supplier in addition to imposing more costs will have devastating impacts on the organisation's performance. The main objective of this study is to provide a useful approach to fuzzy ANP for evaluation of issues related to supplier selection. Many quantitative and qualitative concerns may be brought by the issues related to supplier selection, they are complicated issues. In this study, an ANP model was designed in fuzzy environment; through which the best accessories suppliers in HivaSanat Company are identified and prioritised.

Suggested Citation

  • Habibollah Danai & Shahram Hashemnia & Rokhshad Ahmadi & Seyed Hojjat Bazazzadeh, 2019. "Application of fuzzy ANP method to select the best supplier in the supply chain," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 35(1), pages 1-19.
  • Handle: RePEc:ids:ijores:v:35:y:2019:i:1:p:1-19
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    Cited by:

    1. Aquib Irteza Reshad & Tasnia Biswas & Renu Agarwal & Sanjoy Kumar Paul & Abdullahil Azeem, 2023. "Evaluating barriers and strategies to sustainable supply chain risk management in the context of an emerging economy," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4315-4334, November.
    2. 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.

    More about this item

    Keywords

    fuzzy ANP; supply chain.;

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