Open AccessAn Integrated Hybrid MCDM Approach for Vendor Selection Problem (Case Study: Iran Khodro)
Author(s) -
Massoud Kassaee,
Mojtaba Farrokh,
Hassan Hosseini Nia
Publication year - 2013
Publication title -
business and management horizons
Language(s) - English
Resource type - Journals
ISSN - 2326-0297
DOI - 10.5296/bmh.v1i1.3623
Subject(s) - multiple criteria decision analysis , topsis , ranking (information retrieval) , computer science , selection (genetic algorithm) , analytic network process , operations research , vendor , automotive industry , rank (graph theory) , fuzzy logic , management science , data mining , analytic hierarchy process , artificial intelligence , mathematics , engineering , business , marketing , combinatorics , aerospace engineering
Vendor selection is an important issue in most company based on many criteria that includes ambiguous or uncertain data. Therefore in the study, it is essential that fuzzy approach is employed for coping with the uncertainty and achieving more accurate results. In other hand, the relationships between criteria and sub-criteria are complex; for encompassing the complexity, most conventional decision models cannot help us explain the interrelationships among the criteria. In this paper, a hybrid multi-criteria decision making (MCDM) technique is proposed to determine the structural relationships and the interrelationships among all the evaluation’s dimensions based the Analytic Network Process (ANP) method determining appropriate weightings to each sub-criterion. Then alternatives priority should be determined which can aid the decision making. For the purpose, The TOPSIS (technique for order performance by similarity to idea solution) is used to rank all competing alternatives in terms of their overall performances. In MCDM studies and research, applying TOPSIS in ranking alternatives has recently been customary because of its advantages. In the end, a case study of an Iranian company, in automotive industry, is demonstrated to illustrate the proposed model can improve solving of vendor selection problem.