Using fuzzy ANP to Determine the Main Characteristics of Selecting the Product (Case Study: Saipa Diesel Co.)
Subject Areas : Industrial Management
Hamed Aghakassiri
1
(M.S in Industrial Engineering)
Roxana Fekri
2
(Assistant Professor, Payam Noor University)
Keywords:
Abstract :
Limited managerial resources and impossibility of allocating all of them to production processes increased the necessity of selecting the appropriate product manufactured in the industrial companies. This selection should also be done in truck manufacturing factories Because of the growth rate of product selection alternatives used by major companies and also the competition between the rivals in this industry the number of product selection criteria is increased. The aim of this paper is recognizing and prioritizing the main evaluation criteria in the truck manufacturing companies which have done in the Saipa Diesel Company as the case. The research methodology from aim view is applicable and from the information, the collection view is surveyed which is performed with the questionnaire distributed between the Saipa Diesels’managers of research and development departments. In this research, at first internal and external organization factors are recognized, then product selection and evaluation criteria's extracted and finally it is prioritized with Fuzzy ANP model. The results of this research show that cost and customer's satisfaction have the most priorities among the criteria of product selection.
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_||_1- Mohsen Sadegh Amalnick, Ayyub Ansarinejad, Sina-Miri Nargesi & Shakib Taheri. (2011). New perspective to ERP Critical Success Factors: Priorities and Causal Relations under fuzzy environment. The Journal of Mathematics and Computer Science, 160-170.
2- L. Asgarzadeh, Jun.( 1965). Fuzzy sets, Information and Control, International Journal of Uncertainty, 8(3): 338-353.
3- R. Csutora and J. J. Buckley.( 2001). Fuzzy hierarchical analysis: the Lambda-Max method .Fuzzy Sets and Systems, 120(2) 181–195.
4- Department of Industrial Engineering, Atılım University P.O. Box 06836, İncek, Ankara, Turkey, Department of Industrial Engineering, Gazi UniversityP.O. Box 06570, Maltepe, Ankara, Turkey. (2011). Babak Daneshvar Rouyendegh, Serpil Erol. The DEA – FUZZY ANP Department Ranking Model Applied in Iran Amirkabir University
5- L. C. Leung & D. Cao.(2000). “On consistency and ranking of alternatives in fuzzy AHP. European Journal of Operational Research, 124(1): 102–113.
6- T. S. Liou & M. J. Wang.(1992). “Ranking fuzzy numbers with integral value,” Fuzzy Sets and Systems, 50 (3): 247–255
7- S. Opricovic & G.-H. Tzeng. (2003). Defuzzification within a multicriteria decision model. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 11(5): 635-652.
8- United States General Accounting Office. (1980). The analytical hierarchy process. T. L. Saaty . McGraw-Hill, New York.
9- S. Tesfamariam & R. Sadiq.(2006). Risk-based environmental decision-making using fuzzy analytic hierarchy process (F-AHP). Stochastic Environmental Research and Risk Assessment, 21(1): 35–50.
