a non-additive fuzzy hybrid model for supplier evaluation and prioritization: a case study of automotive brake system manufacturer

nowadays, due to the competitive conditions of global market, corporations try to outsource their extraneous processes to third-party suppliers. so, selecting a proper supplier play a significant role in organization success. the supplier selection problem can be viewed as a group decision-making problem with multiple criteria. since in previous researches the inter relationship between criteria and sub-criteria lacks attention, this paper presents a new model which considers these relationship. firstly, this model has determined interrelationships between criteria through interpretive structural modeling(ism), and then calculated the relative weights of each sub-criterion by considering their interactions and using the fuzzy analytic network process (fanp). finally, the optimal supplier has been selected by applying obtained relative weights to calculate performance score of candidate suppliers in each sub-criterion and using fuzzy choquet integral (a non-additive fuzzy integral) to remove the effects of sub-criteria interactions on performance score. a case study of an automotive brake system manufacturer in selecting its machining outsourcing suppliers is illustrated to demonstrate our model applicability in practical cases. the analytical results of this case study demonstrate the capability of the proposed model for solving group decision-making problems.