Evaluating suppliers in supply chain using a combination technique Fuzzy MOLP-AHP (Case of the study: Azaran Industrial Group)

Mirfakhradini, Seyed Haidar; Nourbakhsh, Iman; Rabiee, Atrina; Rowshan, Sasan

Manuscript ID : IMJ-1801-1003 (R2) Visit : 178 Page: 34 - 48

Article Type: Original Research

Evaluating suppliers in supply chain using a combination technique Fuzzy MOLP-AHP (Case of the study: Azaran Industrial Group)

Subject Areas : Industrial Management

Seyed Haidar Mirfakhradini ¹ , Iman Nourbakhsh ² , Atrina Rabiee ³ , Sasan Rowshan ⁴

1 - Associate Professor, Industrial Management Department, Yazd University, Iran
2 - MSc in Industrial Management, Faculty of Accounting, Economy and Management, Yazd University, Iran
3 - MSc in Industrial Management, Faculty of Administrative Sciences and Economy, Isfahan University, Iran
4 - Ph.D. Student in Public Administration, Faculty of Management and Accounting, Farabi Campus, University of Tehran, Iran

Received: 2018-01-03 Accepted : 2019-01-07 Published : 2019-01-21

Keywords: Supply Chain, fuzzy analytical hierarchy process, multi objective fuzzy programming, fuzzy logic,

Abstract :

In the last decade, supplying raw materials and selection of suppliers in the supply chain has been a challenge for most of the organizations. Since the performance of suppliers has a major impact on the success or failure of the supply chain, Supplier selection known as a strategic task. Thus, in this study - whom has been carried out in the Azaran Industrial Group - researchers has tried to identify the most important criteria in selecting suppliers and determining the importance of each of them according to experts' opinions to select the best suppliers. Therefore, the main criteria for selecting suppliers of a part of parts of the Azaran Industrial Group with a poll of relevant experts were identified through questionnaire. Then by using fuzzy AHP method based on the Analysis of Development, the rate of each criterion and the weight of each supplier - in relation to each criterion - were determined. After that, a fuzzy objective function was created for each criterion. The goal of this function is maximizing the performance of supplier in relation to each criterion. After bringing out the model from fuzzy state, by using the Sum of the Weights, the best supplier was chosen.

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1- Alem Tabriz, A. Bagherzadeh Azar, M. (2010). A Fuzzy ANP Decision Model for Strategic Vendor Selection. Iranian Journal of Trade Studies,14(54): 57-86.