Optimization Modeling and Decision Making of Equipment Maintenance Resource Scheduling Based on NSGA-2 Algorithm
Authors: 
Zheng Junxi, Cao Junhai, An BinlaiAuthors Info & Claims
Pages 253 - 257
Abstract
Aiming at the particularity of armored equipment maintenance spare parts such as many kinds, short maintenance task time and limited resources, a reasonable armored equipment maintenance resource optimization scheduling model is constructed, and the improved NSGA-2 algorithm is used for simulation calculation. The calculation results show that the algorithm can solve the problem of human resource conflict in the maintenance process, shorten the maintenance period of equipment, and optimize the scheduling of human resources in the maintenance process.
References
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Ji-Ping, C., Jian-She, S., Jun, G., & Jian-Ping, L. 2007. Optimization dispatching arithmetic of equipment maintenance support resources in wartime. Journal of System Simulation, 19(15), 3390--3394.
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Liang-Hua, X., & Chuan-Xin, G. 2004. Research of flexible assignment for equipment support resources. Journal of Institute of Command & Technology. (03):30--32
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Deb, K. 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6.
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Index Terms
- Optimization Modeling and Decision Making of Equipment Maintenance Resource Scheduling Based on NSGA-2 Algorithm
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Information
Published In
March 2019
279 pages
ISBN:9781450361286
DOI:10.1145/3319921
Copyright © 2019 ACM.
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In-Cooperation
- Xi'an Jiaotong-Liverpool University: Xi'an Jiaotong-Liverpool University
- University of Texas-Dallas: University of Texas-Dallas
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 15 March 2019
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- Refereed limited
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ICIAI 2019
ICIAI 2019: 2019 The 3rd International Conference on Innovation in Artificial Intelligence
March 15 - 18, 2019
Suzhou, China
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