| Issue |
E3S Web Conf.
Volume 253, 2021
2021 International Conference on Environmental and Engineering Management (EEM 2021)
|
|
|---|---|---|
| Article Number | 02016 | |
| Number of page(s) | 7 | |
| Section | Big Data Environment Management Application and Industry Research | |
| DOI | https://doi.org/10.1051/e3sconf/202125302016 | |
| Published online | 06 May 2021 | |
Multi objective optimization of ship spare parts maintenance based on Improved Genetic Algorithm
1 Department of management engineering and equipment economics Naval University of Engineering Wuhan, Hubei Province, 430033, China
2 Armed Police Second Mobile Corps Fuzhou, Fujian Province, 350200, China
* Corresponding author: liuchmx@126.com
For ship equipment turnover spare parts, if the maintenance interval is too long, the safety and working ability will be reduced; if frequent maintenance is performed, it will cause much waste. Therefore, it is necessary to determine the appropriate maintenance interval for resource optimization. The article analyzes the factors of turnover spare parts maintenance resource optimization. It establishes an equipment parts maintenance time resource optimization model based on maintenance theory and multi-objective decision-making methods, which can ensure the familiar training environment, maintenance type, and update type preventive maintenance mode The satisfaction is the largest, and group decision making and improved genetic algorithm are used to solve the optimal satisfaction. Finally, the effectiveness of the model is verified with examples of ship equipment spare parts.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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