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

Authors: Habibollah Danai; Shahram Hashemnia; Rokhshad Ahmadi; Seyed Hojjat Bazazzadeh

Addresses: Department of Business Administration and MBA, Payame Noor University, P.O. Box 19395-3697, Tehran, Iran ' Department of Business Administration and MBA, Payame Noor University, P.O. Box 19395-3697, Tehran, Iran ' Department of Business Administration and MBA, Payame Noor University, P.O. Box 19395-3697, Tehran, Iran ' Young Researchers and Elite Club, West Tehran Branch, Islamic Azad University, Tehran, Iran

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.

Keywords: fuzzy ANP; supply chain.

DOI: 10.1504/IJOR.2019.099540

International Journal of Operational Research, 2019 Vol.35 No.1, pp.1 - 19

Received: 07 Nov 2015
Accepted: 13 May 2016

Published online: 06 May 2019 *

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