Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

Prediction of missile spare parts consumption based on time series

Authors
Xiaowei Ma, Liuying Wang, Tao WANG
Corresponding Author
Xiaowei Ma
Available Online May 2017.
DOI
10.2991/icmeit-17.2017.86How to use a DOI?
Keywords
Missile spares, Consumption forecast, Time series.
Abstract

The scientific management of missile spare parts is to improve the efficiency of equipment management, improve equipment readiness, one of the core contents of recovery and improve the battle effectiveness of the army. At present, missile spare parts management and prediction lacked the work which based on the analysis and prediction model of missile spare parts consumption time. So, time characteristics of missile spare parts are analyzed, and Correlation prediction models are put, which improving the level of missile spare parts protection.

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 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
Series
Advances in Computer Science Research
Publication Date
May 2017
ISBN
10.2991/icmeit-17.2017.86
ISSN
2352-538X
DOI
10.2991/icmeit-17.2017.86How 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  - Xiaowei Ma
AU  - Liuying Wang
AU  - Tao WANG
PY  - 2017/05
DA  - 2017/05
TI  - Prediction of missile spare parts consumption based on time series
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 445
EP  - 451
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.86
DO  - 10.2991/icmeit-17.2017.86
ID  - Ma2017/05
ER  -