A decision-support framework for evaluating supplier performance in the trial production stage of new car model development: a hybrid multi-criteria decision-making approach

Abstract

This study proposes a decision support framework using a hybrid multi-criteria decision making (MCDM) approach for evaluating supplier performance in the trial production stage of new car model development. First, 18 evaluation criteria are identified through rigorous literature review and confirmed by two groups of industrial experts. Second, consistent fuzzy preference relations (CFPRs) and fuzzy-based criteria importance through inter-criteria correlation (fuzzy CRITIC) are integrated to determine the subjective weights and objective weights of evaluation criteria. Next, a fuzzy-based Vlse Kriterijumska Optimizacija I Kompromisno Resenje (fuzzy VIKOR) approach is employed to rank the performance of suppliers. Thereafter, the sensitivity analysis is conducted to verify the stability and robustness of the proposed decision-making framework. Finally, the comparative study with other MCDM approaches. One of the largest Japanese car manufacturing in Thailand is used as a case study to demonstrate the applicability of the proposed framework.