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Journal of Intelligent Manufacturing

Erschienen in:

19.08.2020

A new Fuzzy C-Means and AHP-based three-phased approach for multiple criteria ABC inventory classification

verfasst von: Fatih Yiğit, Şakir Esnaf

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 6/2021

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Abstract

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.

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Titel: A new Fuzzy C-Means and AHP-based three-phased approach for multiple criteria ABC inventory classification
verfasst von: Fatih Yiğit
Şakir Esnaf
Publikationsdatum: 19.08.2020
Verlag: Springer US
Erschienen in: Journal of Intelligent Manufacturing / Ausgabe 6/2021
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI: https://doi.org/10.1007/s10845-020-01633-7

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