基于仿真的备件需求量确定方法

Spare demand determination based on simulation

摘要:

准确的备件库存量预测是合理有效地进行备件保障等各项综合保障工作的基础。为了实现装备备件的精确化保障，提高保障效率，降低保障成本，介绍了一种根据部件的维修性、可靠性参数确定备件储备量的解析算法模型。基于Exspect平台实现了Petri网对一次任务的仿真算法，求出了备件储备量，并对不同的备件保障方案进行了对比，采用逐个对比的方法得出库存量的最优值。通过最后的计算实例，对仿真方法进行备件储备量确定的可行性进行了验证。

Abstract:

Accurate spare forecast is the basis of effective logistics supporting. An analytic method was put forward according to the reliability and maintenance parameters to determine the spare demand. Based on platform of Exspect and Petri net，a simulation method was used to calculate an example task. The spare demand was determined and different spare support schemes were compared to obtain the optimized value. The effectiveness of this simulation model was demonstrated through a particular case.