Proceedings of the 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017)

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/).

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Volume Title
Proceedings of the 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017)
Series
Advances in Economics, Business and Management Research
Publication Date
October 2017
ISBN
978-94-6252-394-4
ISSN
2352-5428
DOI
10.2991/mse-17.2017.21How to use a DOI?
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  -