Optimization of Armored Equipment Maintenance Material Regulating based on Gray Entropy
Authors
Hao Li, Tie-Ning Wang, Long-Tao Wu, Zhao-Jie Chen, Yong-Fei Chen
Corresponding Author
Hao Li
Available Online October 2017.
- DOI
- 10.2991/mse-17.2017.21How to use a DOI?
- Keywords
- armored equipment; maintenance material; regulate; gray entropy
- Abstract
Most of the armored equipment maintenance material regulating is passive application from the junior resource, and the superior resource is lack of the initiative conduction. Through the import of Gray entropy, establish the dynamic requirement model, not only measure the material demands effectively, but also bring forward the response origin point. At last validate its rationality with the example, providing a new thinking for optimizing the material scheduling process.
- Copyright
- © 2017, 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/).
Cite this article
TY - CONF AU - Hao Li AU - Tie-Ning Wang AU - Long-Tao Wu AU - Zhao-Jie Chen AU - Yong-Fei Chen PY - 2017/10 DA - 2017/10 TI - Optimization of Armored Equipment Maintenance Material Regulating based on Gray Entropy BT - Proceedings of the 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017) PB - Atlantis Press SP - 78 EP - 82 SN - 2352-5428 UR - https://doi.org/10.2991/mse-17.2017.21 DO - 10.2991/mse-17.2017.21 ID - Li2017/10 ER -