Utilization integrated Fuzzy-QFD and TOPSIS approach in supplier selection

Supplier selection is a typical multi-attribute problem that involves both qualitative and quantitative factors. To deal with this problem، different techniques have suggested. Being based on purely mathematical data، these techniques have significant drawbacks especially when we want to consider qualitative factors، which are very important in supplier selection and are not easy to measure. Some innovative approaches، based on artificial intelligence techniques such as Fuzzy Logic match very well with decision-making situations especially when decision makers express heterogeneous judgments. In this research، by the combination of Fuzzy logic and the House of Quality (HOQ)، qualitative criteria are considered in the forward parts of car suppliers’ selection process in Sazehgostar SAIPA Company. Then، TOPSIS technique is adopted to consider quantitative metrics. Finally، by combining of Fuzzy QFD and TOPSIS techniques، these suppliers will be selected and ranked in this Company. Concern to the both qualitative and quantitative criteria، is the important point used in this research and also methodology utilized، counts innovative aspect. Limited number of experts associated with each piece and unavailability of some quantitative criteria has been limitations across of this study’s accomplishment.