dc.contributor.author | Esnaf, Sakir | |
dc.contributor.author | Yigit, Fatih | |
dc.date.accessioned | 2021-03-02T17:35:22Z | |
dc.date.available | 2021-03-02T17:35:22Z | |
dc.identifier.citation | Yigit F., Esnaf S., "A new Fuzzy C-Means and AHP-based three-phased approach for multiple criteria ABC inventory classification", JOURNAL OF INTELLIGENT MANUFACTURING, 2020 | |
dc.identifier.issn | 0956-5515 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.other | av_1586ad28-fce5-4922-8a0b-d99ac9932bb7 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/4037 | |
dc.identifier.uri | https://doi.org/10.1007/s10845-020-01633-7 | |
dc.description.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. | |
dc.language.iso | eng | |
dc.subject | Mühendislik ve Teknoloji | |
dc.subject | Bilgisayar Bilimleri | |
dc.subject | Algoritmalar | |
dc.subject | Mühendislik | |
dc.subject | MÜHENDİSLİK, ÜRETİM | |
dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
dc.subject | Bilgisayar Bilimi | |
dc.subject | BİLGİSAYAR BİLİMİ, YAPAY ZEKA | |
dc.title | A new Fuzzy C-Means and AHP-based three-phased approach for multiple criteria ABC inventory classification | |
dc.type | Makale | |
dc.relation.journal | JOURNAL OF INTELLIGENT MANUFACTURING | |
dc.contributor.department | İstanbul Arel Üniversitesi , , | |
dc.contributor.firstauthorID | 2285214 | |