A novel inventory classification approach based on fuzzy membership degrees of evaluation indexes

Author

Sun, Hua-li ; Xue, Yao-feng

Author_Institution

Manage. Sch., Shanghai Univ., Shanghai, China

Volume

6

fYear

2009

fDate

12-15 July 2009

Firstpage

3722

Lastpage

3726

Abstract

A novel inventory classification approach based on fuzzy membership degrees of evaluation indexes is proposed in this paper. The approach includes six steps: the selection of the evaluation indexes, the formulation of the fuzzy membership functions of evaluation indexes, the calculation of the fuzzy membership degrees of evaluation indexes, the sequencing of the fuzzy membership degrees of evaluation indexes, the selection of inventory types and the inventory classification results. Using the inventory data of a company, the proposed inventory classification approach is applied. The application results are analyzed and the feasibility of the approach is demonstrated. The presented approach can help the enterprises improve their inventory management level and reduce their inventory costs.

Keywords

cost reduction; fuzzy set theory; industrial economics; inventory management; pattern classification; enterprise inventory management level; evaluation index selection; fuzzy membership function degree; inventory classification approach; inventory cost reduction; Companies; Conference management; Costs; Cybernetics; Engineering management; Fuzzy logic; Fuzzy systems; Humans; Inventory management; Machine learning; Inventory management; evaluation index; fuzzy membership degree; fuzzy membership function; inventory classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2009 International Conference on

Conference_Location

Baoding

Print_ISBN

978-1-4244-3702-3

Electronic_ISBN

978-1-4244-3703-0

Type

conf

DOI

10.1109/ICMLC.2009.5212799

Filename

5212799