Proposing New Hybrid Models for Multicriteria Inventory ABC Classification

The literature is abundant with research studies that have been developed to provide an efficient model which has never studied for multicriteria inventory classification MCIC problems. Therefore, this study proposes two hybrid systems. Recently, the TOPSIS widely developed, initially examined, and found very (MCIC) due its advantages simplicity of use. In contrast, best our knowledge, PROMETHEE II COPRAS models determining (criteria weights) parameter values classification, resulting in low/or competitive cost high service level. proposed utilize sets weights CRITIC Spearman’s rho (SR) tools learning optimizing COPARS. addition, a performance analysis validated using real-world dataset composed 63 stock-keeping units (SKUs). compared existing six models. results reflect performances Additionally, comparative indicates most preferred. Finally, can be great support overall supply chain system decisions.