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Optimizing Method of Two-Echelon Equipment's Spare Parts Inventory System with Random Horizontal Replenishment

机译:用随机水平补充的双梯级设备备件库存系统优化方法

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This paper promotes the optimizing model and simulation algorithm for two-echelon spare parts inventory system which includes one center warehouse and one distributive inventory system Involving N sub-warehouses. The distributive inventory system optimizing model, which considers the random horizontal replenishment of spare parts among sub-warehouses, can give a optimal set of inventory control parameters(S_i,s_i) with service level constraint. The center warehouse's inventory control optimizing model based on least squares and multiple linear regression, which could optimize parameters (Q,s) depending on different service level of the distributive inventory system, is presented. The results of numerical simulation show that the model and algorithm are effective in reducing inventory cost of equipment spare parts while enhancing service level. The analysis numerical simulation, compared with other optimizing model of two-echelon spare parts inventory system, implies the optimizing model and simulation algorithm for two-echelon spare parts inventory system are advanced.
机译:本文促进了两个梯队备件库存系统的优化模型和仿真算法,包括一个中心仓库和一个涉及n个子仓库的分布式库存系统。分布库存系统优化模型,其考虑子仓库中的备件随机水平补充,可以提供具有服务级别约束的最佳的库存控制参数(S_I,S_I)。呈现了基于最小二乘和多个线性回归的中心仓库库存优化模型,该模型可根据分布库存系统的不同服务级别优化参数(Q,S)。数值模拟结果表明,该模型和算法在降低设备备件的库存成本时有效,同时增强服务水平。与其他优化型号的分析数值模拟,与双梯零点库存系统的其他优化模型相比,意味着两个梯队备件库存系统的优化模型和仿真算法进行了高级。

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