Model of Spare Parts Optimization Based on GA for Equipment

DOI

10.2991/msam-18.2018.10How to use a DOI?

Keywords

equipment; genetic algorithm; spare parts optimization

Abstract

Combined with the engineering requirements for the optimal allocation of the current ammunition equipment spare parts, a spare part optimization model based on genetic algorithm was established. With the combination of good readiness and cost of ammunition equipment, the use of genetic algorithm had the characteristics of fast convergence, strong global optimization, and simple programming. The model was solved and the spare parts of ammunition equipment were optimally configured. Finally, an example of ammunition equipment was analyzed. The results show that the genetic algorithm can effectively solve the optimization problem of ammunition equipment spare parts.

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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TY  - CONF
AU  - Guangze Pan
AU  - Qin Luo
AU  - Xiaobing Li
AU  - Yuanhang Wang
AU  - Chuangmian Huang
PY  - 2018/07
DA  - 2018/07
TI  - Model of Spare Parts Optimization Based on GA for Equipment
BT  - Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018)
PB  - Atlantis Press
SP  - 44
EP  - 47
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-18.2018.10
DO  - 10.2991/msam-18.2018.10
ID  - Pan2018/07
ER  -