基于多种约束条件的维修备件库存优化方法研究

Research on the Inventory Optimization Method of Spare Parts Based Multiple Constraints

考虑了维修备件需求的随机性，以装备可用度、完好率置信度以及维修备件的保障程度为约束条件，运用概率论与数理统计方法，将维修备件保障费用达到最小值确定为目标函数，在此基础上，制定维修备件库存的最优方案，并通过示例验证了该方法的有效性和科学性．方法可以为其它相关领域解决物资库存与费用问题提供理论依据．

Through making a analysis of the randomicity of the spare parts demand probability theory and mathematical statistics is applied to establish the support expense minimum model based on equipment availability, confidence values of the equipment readiness rate and support probability of spare parts. The arithmetic of spare parts joint support storage based on expense is presented. Then inventory optimization method of spare parts joint support is determined. Applicability of the method is given by way of a numerical example. The inventory optimization method provides a theoretical basis for solving the problems of inventory and expense in other relative areas.