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Multicriteria ABC inventory classification using acceptability analysis

This paper introduces a new procedure for handling the multicriteria ABC inventory classification problem using stochastic multicriteria acceptability analysis. All possible preferences among the evaluation criteria have been considered. Due to the fact that even under certain preference, it is difficult to reach a group consensus on the exact weight values along with each criterion, we calculate preference-specific intervals under each preference and then formulate a stochastic decision-making problem. To tackle this problem, we consider different distribution functions of the intervals and then compute the holistic acceptability indices to classify stock-keeping units. The results derived from our method are compared to the previous results to show the robustness and superiority of our method.