基于遗传算法的航材库存控制优化模型

航材备件库存优化是航空公司减少资金占用、增加经济效益的关键问题，常见的方法大都采用线性规划建模，且缺乏对航材整体保障率的综合考虑。针对上述问题，文中以高价周转件为对象，从航材保障率的基本定义出发，建立了一个既考虑航材总体保障率，又考虑航材总体占用资金较少的线性规划模型，并采用遗传算法对该模型求解。结果表明，在不降低航材整体保障率的前提下，和波音公司首期备件清单推荐的备件数相比，文中的模型无论是在备件数量还是在备件占用资金总量上，都有大幅度降低。

Optimization Model of Aviation Spares Inventory Control Based on Genetic Algorithm

Aviation spares inventory optimization has always been the key issue that how to reduce its occupation cost and how to increase economic benefit for all airlines. Most common methods to solve this issue are based on linear programming model without considering the ensuring rate of the whole aviation spares system. To slove this problem,with expensive repairable aviation spares as the research sub-ject,considering the overall cost and the ensuring rate of the whole aviation spares system,a new linear programming model from the defi-nition of aviation spares ensuring rate is built,which is solved by genetic algorithm. The results suggest that the model in this paper can reduce the occupation cost and the inventory of aviation spares a lot,compared with the number of spare parts by the recommended spare parts list from Boeing company,at the same time it can ensure the aviation spares ensuring rate well.