计算机技术与发展Issue(11)：186-189,4.DOI:10.3969/j.issn.1673-629X.2014.11.047
基于遗传算法的航材库存控制优化模型
Optimization Model of Aviation Spares Inventory Control Based on Genetic Algorithm
摘要
Abstract
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.关键词
航材备件/库存优化/遗传算法/保障率Key words
aviation spares/inventory optimization/genetic algorithm/ensuring rate分类
航空航天引用本文复制引用
李圆芳,樊玮..基于遗传算法的航材库存控制优化模型[J].计算机技术与发展,2014,(11):186-189,4.基金项目
国家自然科学基金委、中国民航局联合基金(U1333109) （U1333109）
