摘要
航空公司以维修基地和中央仓库两级库存保障飞机的航线可更换单元需求,同时规定高保障率以提供高航空服务质量,提出了保障率约束下的两级仓库最佳备件数量问题。本文首先通过航线可更换单元的失效数据以极大似然方法估计需求率,然后提出所有仓库总备件成本最小化为目标,备件综合保障率为约束的两级库存控制模型,最后采用边际分析法进行模型求解完成维修基地和中央仓库两级备件量的配置优化,实现航材资金占用量的最小化。通过实例验证表明采用此方法能够有效压缩库存规模,降低库存成本。
Airlines meet maintenance requirement of line replacement unit（ LRU） with two-echelon supply pattern by base warehouse and central warehouse and set high fill rate to support airplane operation.Under this situation,it raises a problem as to how to decide LRU stock level in different base and central warehouses. Firstly,the requirement rate of LRU is calculated by Maximum Likelihood method using its failure data. Secondly,a two-echelon inventory control model is established to optimize total inventory costs under the constraint of joint fill rate. At last,a marginal analysis algorithm is designed to solve this model. An example is given to show that this approach is effective and reduces inventory cost.
出处
《工业工程》
2016年第1期61-65,共5页
Industrial Engineering Journal
基金
国家自然科学基金委员会与中国民用航空局联合资助项目(U1233107)
关键词
航线可更换件
保障率
极大似然方法
两级库存控制
边际分析法
line replacement unit
fill rate
Maximum Likelihood
two-echelon inventory control
marginal analysis algorithm
