Abstract

Objectives: This research aims to capitalize their beneficial aspects through proposing a structural classification approach based on DFA and GRA to the MCIC problem. Precisely, both models will simultaneously run to provide combined compensatory and non-compensatory evaluations of inventory items for ABC classifications. Methods: The proposed approach assigns weights to each criterion using different methods. Results are assessed and validated through an inventory dataset on a total of sixty-three stocking units and four numerical criteria. Empirically, the proposed approach is examined through the inventory cost and service performance indicators compared with that of six existing research studies in the MCIC literature. Results: The study findings revealed that the proposed approach can offer an adequate representation of solving the MCIC problem, decrease the total inventory cost and foster the total order fill rate. Conclusions: In this study, a structural classification approach based on GRA and DFA was proposed to adequately improve the MCIC problem. The proposed approach was named the GRA-DFA.