Multiple-criteria ABC (MCABC) analysis is conducted using a dominance-based rough set approach. ABC analysis, a well-known technique for inventory planning and control, divides stock-keeping units (SKUs) into three classes according to annual dollar usage. But MCABC analysis offers more managerial flexibility by including other criteria, such as lead time and criticality, in the classification ...

We develop the concept of ABC-Boost (Adaptive Base Class Boost) for multi-class classification and present ABC-MART, a concrete implementation of ABC-Boost. The original MART (Multiple Additive Regression Trees) algorithm has been very successful in large-scale applications. For binary classification, ABC-MART recovers MART. For multi-class classification, ABC-MART considerably improves MART, a...

. ABC analysis is one of the most widely used techniques in inventory management to classify items into three ordered categories called A, B and C, where category A contains the most important items and category C includes the least important ones. The ABC classification of inventory items is based on their performance expressed by weighted scores. In this paper, a new ABC classification model ...

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, PROMETHE...