[1]LI Fengyue,QI Xiaogang,BAN Liming,et al.Vehicle maintenance spare-part prediction for equipment use plan[J].CAAI Transactions on Intelligent Systems,2021,16(6):1064-1072.[doi:10.11992/tis.202012026]
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Vehicle maintenance spare-part prediction for equipment use plan

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 16 Number of periods: 2021 6 Page number: 1064-1072 Column: 学术论文—智能系统 Public date: 2021-11-05
Title:
Vehicle maintenance spare-part prediction for equipment use plan
Author(s):
LI Fengyue1;  QI Xiaogang1;  BAN Liming2;  LI Jianhua2;  SUO Wenkai2
1. School of Mathematics and Statistics, Xidian University, Xi’an 710000, China;
2. 32272 Group of PLA, Lanzhou 730000, China
Keywords:
vehicle equipment; spare parts prediction; using plan; consumption; regular inspection; inventory control; multi-population; fruit fly optimization algorithm
CLC:
TP273
DOI:
10.11992/tis.202012026
Abstract:
Aiming at the consumption characteristics of vehicle equipment spare parts under the use plan, two forecast optimization problems of spare-part consumption and inventory control are studied. First, the preventive and repairable maintenance of vehicle equipment is considered for the use plan period, and the consumption of equipment maintenance spare parts under the fixed schedule and random natural failure maintenance is predicted. Subsequently, based on the characteristics of the spare parts inventory inspection method, the joint replenishment inventory control model is established based on a regular inspection strategy. According to the structural characteristics of the model, the limits of decision variables are determined, and the multipopulation location upgrade method is used to improve the fruit fly optimization algorithm (FOA). The simulation results show that the improved FOA has good solving efficiency. The proposed optimization method can provide a decision-making basis for the optimization of vehicle maintenance support resources.
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