SUPPLIER SELECTION USING FUZZY INFERENCE SYSTEM

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KADKHODAZADEH HAMIDREZA; MOROVVATI SHARIFABADI ALI

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Paper Information

Journal: PRODUCTION AND OPERATIONS MANAGEMENT Year:2014 | Volume:4 | Issue:2 (7) Page(s): 113-131

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Information Journal Paper

Title

SUPPLIER SELECTION USING FUZZY INFERENCE SYSTEM

Author(s)

KADKHODAZADEH HAMIDREZA | MOROVVATI SHARIFABADI ALI | Issue Writer Certificate

Keywords

SUPPLY CHAINQ2

SUPPLIER SELECTIONQ2

THE FOOD INDUSTRYQ1

FUZZY INFERENCE SYSTEMQ1

AHPQ2

Abstract

Suppliers are one of the most vital parts of SUPPLY CHAIN whose operation has significant indirect effect on customer satisfaction. Since customer's expectations from organization are different, organizations should consider different standards, respectively. There are many researches in this field using different standards and methods in recent years. The purpose of this study is to propose an approach for choosing a supplier in a food manufacturing company considering cost, quality, service, type of relationship and structure standards of the supplier organization. To evaluate supplier according to the above standards, the FUZZY INFERENCE SYSTEM has been used. Input data of this system includes supplier's score in any standard that is achieved by AHP approach and the output is final score of each supplier. Finally, a supplier has been selected that although is not the best in price and quality, has achieved good score in all of the standards.

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APA: Copy

KADKHODAZADEH, HAMIDREZA, & MOROVVATI SHARIFABADI, ALI. (2014). SUPPLIER SELECTION USING FUZZY INFERENCE SYSTEM. PRODUCTION AND OPERATIONS MANAGEMENT, 4(2 (7)), 113-131. SID. https://sid.ir/paper/217558/en

Vancouver: Copy

KADKHODAZADEH HAMIDREZA, MOROVVATI SHARIFABADI ALI. SUPPLIER SELECTION USING FUZZY INFERENCE SYSTEM. PRODUCTION AND OPERATIONS MANAGEMENT[Internet]. 2014;4(2 (7)):113-131. Available from: https://sid.ir/paper/217558/en

IEEE: Copy

HAMIDREZA KADKHODAZADEH, and ALI MOROVVATI SHARIFABADI, “SUPPLIER SELECTION USING FUZZY INFERENCE SYSTEM,” PRODUCTION AND OPERATIONS MANAGEMENT, vol. 4, no. 2 (7), pp. 113–131, 2014, [Online]. Available: https://sid.ir/paper/217558/en

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