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A Hybrid Fuzzy Prioritization - PROMETHEE Model for Supplier Selection | ||
| Industrial Management Journal | ||
| مقاله 8، دوره 8، شماره 3، دی 2016، صفحه 467-486 اصل مقاله (945.09 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/imj.2016.61716 | ||
| نویسندگان | ||
| Ibrahim Karami1؛ Rahim Foukerdi* 2 | ||
| 1MSc. Student in Industrial Management, College of Human Sciences, Islamic Azad University (Saveh Branch), Saveh, Iran | ||
| 2Assistant Prof. in Production and Operations Management, University of Qom, Qom, Iran | ||
| چکیده | ||
| Abstract: Evaluation and selection of suppliers is one of the important pillars in supply chain management. Thanks to the fuzzy sets theory, researchers try to provide several methods to deal with uncertainty which is constituted by vague situations in supplier selection problem. However, one of the biggest shortcomings in these methods is complexity in fuzzy weighting calculation. To avoid this problem in the traditional fuzzy weighting methods, this paper is used a fuzzy ranking method. This method does not require defuzzifing of fuzzy numbers and standardizing of weighted vector. Instead, this method can provide best weigted vector using a fuzzy optimization model without relying on experts’ paired comparisons. The combination of this method and PROMETHEE ranking method provides an effective model for solving the supplier selection problem. Application of this model in Iran auto industry has shown its effectiveness. | ||
| کلیدواژهها | ||
| Supplier Selection؛ Fuzzy Prioritization Method؛ PROMETHEE؛ Supply Chain؛ Auto industry | ||
| مراجع | ||
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