TY - GEN
T1 - A novel inventory classification approach based on fuzzy membership degrees of evaluation indexes
AU - Sun, Hua Li
AU - Xue, Yao Feng
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Evaluation index
KW - Fuzzy membership degree
KW - Fuzzy membership function
KW - Inventory classification
KW - Inventory management
UR - https://www.scopus.com/pages/publications/70350714446
U2 - 10.1109/ICMLC.2009.5212799
DO - 10.1109/ICMLC.2009.5212799
M3 - 会议稿件
AN - SCOPUS:70350714446
SN - 9781424437030
T3 - Proceedings of the 2009 International Conference on Machine Learning and Cybernetics
SP - 3722
EP - 3726
BT - Proceedings of the 2009 International Conference on Machine Learning and Cybernetics
T2 - 2009 International Conference on Machine Learning and Cybernetics
Y2 - 12 July 2009 through 15 July 2009
ER -