An integrated decision analytic framework of machine learning with multi-criteria decision making for multi-attribute inventory classification

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• 作者：Hasan Kartal^a ; ^{hasan_kartal@uml.edu}Author Vitae ; Asil Oztekin^a ; ^{asil_oztekin@uml.edu}Author Vitae ; Angappa Gunasekaran^b ; ^{agunesakaran@umassd.edu}Author Vitae ; Ferhan Cebi^c ; ^{cebife@itu.edu.tr}Author Vitae
• 关键词：Multi-attribute inventory classification ; ABC analysis ; Business analytics ; Data mining
• 刊名：Computers & Industrial Engineering
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：101
• 期：Complete
• 页码：599-613
• 全文大小：663 K
• 卷排序：101

文摘

A multi-criteria inventory classification method was developed. Machine learning algorithms are integrated with multi-criteria decision making. A case study at an automotive company validates the model with its high accuracy. The proposed method yields significantly better results than others in literature. It is flexibly applicable to other multi-criteria inventory classification cases.