LAUSR

Abstract The aim of this research is to develop a quantitative approach that handles the conflicts between different decision makers and measures the performance of the suppliers in a manufacturing system to select a resilient supplier. In this paper, a fuzzy-multi-criterion group decision making approach is conceived to develop a resilient supplier selection process. In the proposed methodology, distance based optimization methodology, that is, TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution) integrated with fuzzy system, identifies the features of general selection criteria. Since manufacturer criteria and resiliency criteria are mostly based on the subjective judgment of ‘technical requirement’ and ‘customer requirement’, AHP (Analytic Hierarchy Process) and QFD (Quality Function Deployment) methodology have been integrated in AHP-QFD methodology. Finally, a supplier selection index is calculated in which the decision maker’s attitude plays an important role. The model produces less imprecise and more realistic overall desirability levels, and thus it resolves the problem of loss of information. The computational procedure of the proposed framework is demonstrated through a supplier selection problem.