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Application of fuzzy based VIKOR approach for multi-attribute group decision making (MAGDM): a case study in supplier selection

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In today´s competitive global markets, selection of a potential supplier plays an important role to cut production costs as well as material costs of the company. This leads to successful survival and sustainability in a competitive marketplace. Therefore, evaluation and selection of an appropriate supplier has become an important part of supply chain management. The nature of the supplier selection process is a complex multi-attribute group decision making (MAGDM) problem which deals with both quantitative and qualitative factors may be conflicting in nature as well as contain incomplete and uncertain information. In order to solve such a kind of MAGDM problems, the development of an effective supplier selection model is evidently desirable. In this paper, an application of the VIKOR method combined with fuzzy logic has been used to solve supplier selection problems with conflicting and non-commensurable (different units) criteria, assuming that compromising is acceptable for conflict resolution. The decision maker wants a solution, which must be closest to the ideal, and the alternatives are evaluated according to all established criteria. Linguistic values are used to assess the ratings and weights for the conflicting factors. These linguistic ratings can be expressed in triangular fuzzy numbers. Then, a hierarchy MAGDM model based on fuzzy sets theory and the VIKOR method has been proposed to deal with the supplier selection problems in the supply chain system. A case study has been illustrated as an application of the proposed model.
Słowa kluczowe
Rocznik
Strony
25--39
Opis fizyczny
Bibliogr. 25 poz., rys., wykr., tab.
Twórcy
autor
  • Department of Mechanical Engineering; National Institute of Technology, Rourkela-769008
autor
  • Department of Mechanical Engineering; National Institute of Technology, Rourkela-769008
  • Department of Mechanical Engineering; National Institute of Technology, Rourkela-769008
Bibliografia
  • Altinoz, C. & Winchester, S.C. (2001). A Fuzzy Approach to Supplier Selection. Journal of Textile Institute 92(2), 155–167.
  • Bashiri, M. & Badri, H. (2011), A group decision making procedure for fuzzy interactive linear assignment programming, Expert Syst. Appl. 38(5), 5561–5568.
  • Chang, C.-L. (2010), A modified vikor method for multiple criteria analysis, Environmental Monitoring and Assessment 168, 339–344.
  • Chen, C.-T. (2000), Extensions of the topsis for group decision-making under fuzzy environment, Fuzzy Sets and Systems 114(1), 1–9.
  • Ghodsypour, S. & OBrien, C. (1998), A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming, International Journal of Production Economics 56–57(1), 199–212.
  • Huang, J.J., Tzeng, G.H., & Liu, H.H. (2009), A Revised VIKOR Model for Multiple Criteria Decision Making - The Perspective of Regret Theory, in Y. Shi et al. (Eds.) MCDM 2009, Communications in Computer and Information Science 35(1), 761–768, Springer-Verlag Berlin Heidelberg.
  • Kubat, C., & Yuce, B. (2006), Supplier Selection with Genetic Algorithm and Fuzzy AHP, Proceedings of 5th International Symposium on Intelligent Manufacturing Systems, May 29–31, 1382–1401.
  • Kumar, M., Vrat, P. & Shankar, R. (2004), A fuzzy goal programming approach for vendor selection problem in a supply chain, Comput. Ind. Eng. 46(1), 69–85.
  • Kuo, M.-S. & Liang, G.-S. (2011), Combining vikor with gra techniques to evaluate service quality of airports under fuzzy environment, Expert Syst. Appl. 38(3), 1304–1312.
  • Moeinzadeh, P. & Hajfathaliha, A. (2010), A combined fuzzy decision making approach to supply chain risk assessment, International Journal of Human and Social Sciences 5(13), 859–875.
  • Opricovic, S. (1998), Multi-criteria optimization of civil engineering systems, Faculty of Civil Engineering, Belgrade.
  • Opricovic, S. & Tzeng, G.-H. (2004), Compromise solution by mcdm methods: A comparative analysis of vikor and topsis, European Journal of Operational Research 156(2), 445–455.
  • Opricovic, S. & Tzeng, G.-H. (2007), Extended vikor method in comparison with outranking methods, European Journal of Operational Research 178(2), 514–529.
  • Park, J. H., Cho, H. J. & Kwun, Y. C. (2011), Extension of the vikor method for group decision making with interval-valued intuitionistic fuzzy information, Fuzzy Optimization and Decision Making 10(3), 233–253.
  • Roodhooft, F. & Konings, J. (1997), Vendor selection and evaluation an activity based costing approach, European Journal of Operational Research 96(1), 97–102.
  • Saghafian, S. & Hejazi, S. R. (2005), Multi-criteria group decision making using a modified fuzzy topsis procedure, in Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-2 (CIMCA-IAWTIC06) – Volume 02, CIMCA 05, IEEE Computer Society, Washington, DC, USA, 215–221.
  • Sanayei, A., Farid Mousavi, S. & Yazdankhah, A. (2010), Group decision making process for supplier selection with vikor under fuzzy environment, Expert Systems with Applications 37(1), 24–30.
  • Sanayei, A., Mousavi, S. F., Abdi, M. & Mohaghar, A. (2008), An integrated group decisionmaking process for supplier selection and order allocation using multi-attribute utility theory and linear programming, Journal of the Franklin Institute 345(7), 731–747.
  • Shahanaghi, K., Yazdian, S. A. (2009), Vendor Selection Using a New Fuzzy Group TOPSIS Approach, Journal of Uncertain Systems 3(3), 221–231.
  • Tsai, C.H., Chang, C.L., & Chen, L. (2003), Applying Grey Relational Analysis to the Vendor Evaluation Model, International Journal of the Computer, the Internet and Management 11(3), 45–53.
  • Weber, C. A., Current, J. R. & Desai, A. (1998), Non-cooperative negotiation strategies for vendor selection, European Journal of Operational Research 108(1), 208–223.
  • Wu, M., Liu, Z. J. (2011), The supplier selection application based on two methods: VIKOR algorithm with entropy method and Fuzzy TOPSIS with vague sets method, International Journal of Management Science and Engineering Management 6(2), 936–946.
  • Yu, P. (1973), A class of solutions for group decision problems, Management Science 19(8), 936–946.
  • Zadeh, L. (1965), Fuzzy sets, Information and Control 8(3), 338–353.
  • Zadeh, L. (1975), The concept of a linguistic variable and its application to approximate reasoning, Information Sciences 8(3), 199–249.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-AGH8-0012-0002
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