面向动用计划的车辆装备备件预测研究

针对动用计划下的车辆装备备件的消耗特点，研究了车辆装备维修备件消耗量和库存控制两个预测优化问题。考虑动用计划期内车辆装备的预防性维修和修复性维修，实现定时定程维修和自然随机故障维修下装备维修备件的消耗量的预测。在此基础上，根据备件库存检查方式的特点，建立基于定期检查策略的联合补货库存控制模型，根据模型的结构特点确定决策变量界限，并利用多类种群位置更新方式改进了果蝇优化算法。仿真结果表明，改进的果蝇优化算法具有良好的求解效率，本文所提出的优化方法可为车辆维修保障资源优化提供决策依据。

Vehicle maintenance spare-part prediction for equipment use plan

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.