摘要
对装备可维修备件库存配置进行科学的优化决策,寻求装备可维修备件保障费用与装备战备完好性之间的最佳平衡在装备维修保障中是十分重要的。在此背景下进行多级可维修备件的库存研究,建立可维修备件多级库存模型,对模型中的重要参数和库存指标进行了评估,设计蚁群优化算法,将可维修备件以恰当的数量配置在恰当的多级库存系统中,以达到备件平均延误时间允许下的最低备件保障费用。算例结果表明:引入横向供应策略节省了41.37%的可维修备件的保障总费用。
It is very important to make a scientific optimum decision on the repairable spare parts inventory allocation for complex equipment,and seek the best balance between spare parts cost and availability in maintenance.Thus,the focus of this paper is on the analysis of multi-echelon spare parts inventory system,the goal of it is to build a multi-echelon spare parts inventory model,evaluate the related parameters and inventory index,and develop ant colony optimization algorithm（ACO） in order to identify stocking policies to minimize system-wide spare parts support cost subject to the average waiting time per demanded part at each of the locations.The experiment gives insights into the relative improvement achievement achieved by applying lateral transshipments.
出处
《空军工程大学学报（自然科学版）》
CSCD
北大核心
2013年第1期90-94,共5页
Journal of Air Force Engineering University(Natural Science Edition)
基金
陕西省自然科学基础研究计划资助项目(2011JQ8035)
关键词
库存系统
可维修备件
横向供应
蚁群算法
inventory system
repairable spare part
lateral transshipments
ant colony optimization algorithm
