Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)

Spare Parts Optimization Models of Weapon System Based on Cost Effectiveness Analysis

Authors
Shang Gao, Yaming Yu, Jing Hu
Corresponding Author
Shang Gao
Available Online October 2018.
DOI
10.2991/icmcs-18.2018.12How to use a DOI?
Keywords
Spare parts; Optimization; Cost effectiveness analysis
Abstract

Insufficient stocks affect overall performance of weapon system, as lack of spares may result in gross penalties, lower availability or increased operational risks. The spare parts optimization model of constant reliability and spare parts optimization mode of constant cost were established. The search function was improved and simplified, and solving optimization model .algorithms are given. On this basis of the criterion of cost analysis the optimization model of spare parts is give, and the effective algorithm is give also. Finally, the proposed method is proved to be effective and practicable by numerical example.

Copyright
© 2018, 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 8th International Conference on Management and Computer Science (ICMCS 2018)
Series
Advances in Computer Science Research
Publication Date
October 2018
ISBN
10.2991/icmcs-18.2018.12
ISSN
2352-538X
DOI
10.2991/icmcs-18.2018.12How to use a DOI?
Copyright
© 2018, 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  - Shang Gao
AU  - Yaming Yu
AU  - Jing Hu
PY  - 2018/10
DA  - 2018/10
TI  - Spare Parts Optimization Models of Weapon System Based on Cost Effectiveness Analysis
BT  - Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)
PB  - Atlantis Press
SP  - 61
EP  - 66
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmcs-18.2018.12
DO  - 10.2991/icmcs-18.2018.12
ID  - Gao2018/10
ER  -