基于非泊松分布的不可修备件优化配置模型

 针对已有备件配置模型的局限性,研究需求服从非泊松分布的不可修备件优化配置模型.通过分析两级库存系统不可修备件的保障特点,将需求服从泊松分布的假设放宽,建立需求服从非泊松分布的不可修备件满足率通用模型,在此基础上构建以备件配置费用最小为优化目标,以系统备件配置满足率为约束条件的两级库存系统不可修备件配置优化模型,并通过遗传算法给出最优配置方案.结合案例的优化及验证结果显示,该优化配置模型适用于正态分布等需求服从非泊松过程的备件配置问题,其配置方案在保证系统备件配置总费用最低的前提下,使备件满足率达到95.02%,与Opus 10 软件的计算结果一致,表明优化配置模型的可行性和可靠性.

Optimal configuration model of non-repairable spare parts based on non-Poisson distribution

This paper studies the optimal configuration model of non- repairable spare parts whose demand obeys non- Poisson distribution to overcome the limitation of existing models. The characteristics of non-repairable spare parts in two-echelon inventory system were analyzed, and the assumption of the demand obeying Poisson distribution was relaxed, so that a universal model for the satisfaction rate of non-repairable spare parts whose demand obeys non-Poisson distribution was established. On the basis of that, an optimal configuration model for non-repairable spare parts in the two-echelon inventory system was established by setting minimum configuration cost as the optimization target and satisfaction rate as the constraint. The optimization scheme was solved by Genetic Algorithm. The optimization and verification results show that the satisfaction rate of the system reached 95.02% with minimum total cost, which is in accordance with results calculated by Opus 10, demonstrating the feasibility and reliability of the model.