An integrated model for supplier selection under a fuzzy situation

Supplier selection as an essential component of supply chain management is usually a multi-criteria decision problem which, in actual business contexts, may have to be solved in the absence of precise information. To tackle with the multiple criteria and the inherent uncertainty in supplier selection, this study propose to adopt the fuzzy analytic network process (FANP) approach first to identify top suppliers by considering the effects of interdependence among selection criteria and to handle inconsistent and uncertain judgments. FANP is then integrated with fuzzy multi-objective linear programming (FMOLP) in selecting the best suppliers for achieving optimal order allocation under fuzzy conditions.