ABC analysis is an efficient and easy-to-use methodology to classify inventory based on a single or multi-criteria basis that may consist of thousands of items. The first study by Dickie (Fact Manag Maint 109(7):92–94, 1951), based on a single criterion, is considered to be limited now. New studies focus on Multi-Criteria-Inventory Classification (MCIC) since such an extension of the criteria fits the realities of modern business decisions. The proposed approach in this study uses three-phased MCIC incorporating analytical hierarchy process (AHP), Fuzzy C-Means (FCM) algorithm, and a newly proposed Revised-Veto (Rveto) phase to meet the ABC classification principles and increase its applicability and flexibility. This new approach is called AHP–FCM–Rveto and proposed in this study for the first time. A numerical example taken from the literature is used to compare AHP–FCM–Rveto with other methods, and the results also show that the proposed methodology performs better. In the real-life example, the main advantage of compliance with the Pareto principle of the proposed method is shown.

ABC分析是一种有效且易于使用的方法，可根据可能包含数千个项目的单个或多个标准对库存进行分类。Dickie的第一项研究（Fact Manag Maint 109（7）：92-94，1951年）基于单一标准，现在被认为是有限的。新的研究集中在多标准库存分类（MCIC）上，因为标准的这种扩展适合现代商业决策的现实。本研究中提出的方法使用了三相MCIC，并结合了层次分析法（AHP），模糊C均值（FCM）算法和新提出的Reved-Veto（Rveto）阶段来满足ABC分类原则并提高其适用性和灵活性。这种新方法称为AHP–FCM–Rveto，并在本研究中首次提出。取自文献的数值算例将AHP–FCM–Rveto与其他方法进行了比较，结果还表明所提出的方法性能更好。在实际示例中，显示了遵循所提出方法的帕累托原理的主要优势。