Inventory classification tree model based on inventory Classification policy in Manufacturing Enterprises

DOI

10.2991/icmse-15.2015.171How to use a DOI?

Keywords

classification tree model, inventory classification, Fuzzy Neural Network

Abstract

Material inventory management plays an increasingly important role in modern operations management within manufacturing enterprises. And a multi-attribute classification model has been put up based on the application of the decide tree model and fuzzy artificial neural network. First the material inventory styles are classified. Then a decision tree model is defined based on inventory classification result. The value of the node is decided by Fuzzy Neural Network if multi-attribute decision is needed and material inventory strategy can be decided with the classification tree and inventory strategy table. In the end, the implementation of the model in a manufacturing enterprise resource plan system is presented.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Dongjuan Xue
PY  - 2015/12
DA  - 2015/12
TI  - Inventory classification tree model based on inventory Classification policy in Manufacturing Enterprises
BT  - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
PB  - Atlantis Press
SP  - 942
EP  - 946
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-15.2015.171
DO  - 10.2991/icmse-15.2015.171
ID  - Xue2015/12
ER  -