Application of fuzzy ANP method to select the best supplier in the supply chain Online publication date: Thu, 09-May-2019
by Habibollah Danai; Shahram Hashemnia; Rokhshad Ahmadi; Seyed Hojjat Bazazzadeh
International Journal of Operational Research (IJOR), Vol. 35, No. 1, 2019
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.
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