Optimal cooperative ordering policy for spare parts inventory with two supply modes

被引：0
作者：
Wang, Shen [1 ,2 ]
Li, Qing-Min [3 ]
Li, Hua [1 ]
Ruan, Min-Zhi [3 ]
机构：
[1] Department of Weaponry Engineering, Naval University of Engineering, Wuhan, 430033, Hubei
[2] The 91115th Unit of PLA, Zhoushan, 316000, Zhejiang
[3] Office of Research and Development, Naval University of Engineering, Wuhan, 430033, Hubei
来源：
Binggong Xuebao/Acta Armamentarii | 2015年 / 36卷 / 02期
关键词：
Cooperative order; Inventory; Operations research; Optimization; Spare parts;
D O I：
10.3969/j.issn.1000-1093.2015.02.022
中图分类号：
学科分类号：
摘要：
In order to satisfy the demands of inventory system on the spare parts, an emergency order is implemented to cover the shortage of regular order and reduce equipment downtime in case of stock-outs. A cooperative-ordering model, which takes compound fill rate as the constraints and expected cost per unit time as objective function, is established to solve the joint optimization problem for multi-location order policy in the two supply modes. A heuristic algorithm is developed to optimize the proposed model on basis of Lagrangian factor and policy-iteration algorithm. The Monte-Carlo simulation model is presented to prescribe the demand and order behaviors. The analytical model is compared with genetic-algorithm-optimized simulation model in a set of designed experiments. The results show the analytical model derives near-optimal solution and operates with high efficiency. ©, 2015, China Ordnance Society. All right reserved.
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页码：337 / 344
页数：7
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