INTRODUCING A FUZZY ANP MODEL TO SOLVE SUPPLIER SELECTION PROBLEM

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RAZMI J.; SADEGH AMALNIK M.; HASHEMI MAHDI

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Journal: Year:2009 | Volume:42 | Issue:7 (117) Page(s): 935-946

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Title

INTRODUCING A FUZZY ANP MODEL TO SOLVE SUPPLIER SELECTION PROBLEM

Author(s)

RAZMI J. | SADEGH AMALNIK M. | HASHEMI MAHDI | Issue Writer Certificate

Keywords

OUTSOURCINGQ2

SUPPLIER SELECTIONQ3

ANALYTIC NETWORK PROCESSQ3

FUZZY SET THEORYQ3

LINEAR PROGRAMMINGQ3

Abstract

Development and expansion in information and communication tools in last years had caused universal organizations and companies expand their markets in the entire world. Thereinafter, traditional local markets have modified to world wide rivalry markets. Therefore, in order to be successful in the new market, organizations need to focus on core process of organization. For this reason organizations would like to outsource the noncore processes to outside service provider companies. Selection of the most suitable supplier/s is the vital decision with wide domain of inferences in the supply chain management. The suppliers play key role in the successes of supply chain management targets. In this article the SUPPLIER SELECTION techniques and models had been studied. Results had been appeared that none of the published models can could support the all OUTSOURCING problems in the general form. In this study the ANALYTIC NETWORK PROCESS (ANP) model which has initiated by Saaty (1996), had selected for base model to expand and make the final model. ANALYTIC NETWORK PROCESS is the developed face of Analytic Hierarchy Process (AHP) model. ANP with have all attributes of AHP can enter all dependences and feedbacks between elements of decision making to final rating of alternatives. Since, a part of this model involves paired comparisons of element, so in vague conditions of judgments, this model seems to be none complete model to cover all problems of OUTSOURCING. Therefore, the ANALYTIC NETWORK PROCESS (ANP) is adopted and developed by FUZZY SET THEORY to cover the indeterminacy of decisions made in this field. The authors have developed a LINEAR PROGRAMMING model to elicit eigenvectors from fuzzy comparison matrices. Hybridization of these two concepts can model SUPPLIER SELECTION problem in all circumstances and reaches the optimal choice. Finally, a numerical example is used to validate the proposed model.

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APA: Copy

RAZMI, J., SADEGH AMALNIK, M., & HASHEMI, MAHDI. (2009). INTRODUCING A FUZZY ANP MODEL TO SOLVE SUPPLIER SELECTION PROBLEM. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN), 42(7 (117)), 935-946. SID. https://sid.ir/paper/14108/en

Vancouver: Copy

RAZMI J., SADEGH AMALNIK M., HASHEMI MAHDI. INTRODUCING A FUZZY ANP MODEL TO SOLVE SUPPLIER SELECTION PROBLEM. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN)[Internet]. 2009;42(7 (117)):935-946. Available from: https://sid.ir/paper/14108/en

IEEE: Copy

J. RAZMI, M. SADEGH AMALNIK, and MAHDI HASHEMI, “INTRODUCING A FUZZY ANP MODEL TO SOLVE SUPPLIER SELECTION PROBLEM,” JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN), vol. 42, no. 7 (117), pp. 935–946, 2009, [Online]. Available: https://sid.ir/paper/14108/en

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