Selection of Suppliers in Industrial Manufacturing: A Fuzzy Rough PROMETHEE Approach

In supply chain management (SCM), the selection of suppliers plays a vital role in an efficient production process. Over last few years, to form trade-off between quantitative and qualitative criteria, SCM is considered very conclusive. The decisions generally demand different criteria balance every possible inconsistent parameters involving subjectivity uncertainty evaluation information mostly depends on experience knowledge experts that are unsure indistinct. This study introduces novel decision-making method by integrating rough approximations with fuzzy numbers preference ranking organization for enrichment (PROMETHEE) deal subjective objective vagueness assessment decision makers. To minimize dependency experts’ judgements, entropy weights computed from original data set. index then using deviations among alternatives. alternatives ranked intersection both positive flow negative flow. show significance importance PROMETHEE method, case supplier industrial manufacturing discussed detail. developed effectively used rank under given criteria. results compared based MCDM methods. can be efficiently best reduce losses maximize