Time-varying convex optimization for spare parts inventory considering passivation

被引：0
|
作者：
Song C. [1 ]
Guo L. [1 ]
Wang N. [1 ]
Ma L. [1 ]
机构：
[1] School of Reliability and Systems Engineering, Beijing University of Aeronautics and Astronautics, Beijing
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2016年 / 42卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Convex optimization; Instantaneous availability; Inventory; Passivation; Spare parts;
D O I：
10.13700/j.bh.1001-5965.2015.0327
中图分类号：
学科分类号：
摘要：
Taking passivation into consideration, we apply a time-varying inventory balance equation to setting up the time-varying backorder formula and use the extended Palm theorem to combine the cumulative demands for spare parts with the parameters of the shape characteristics of Poisson processes to create a convex optimization algorithm for spares considering the cumulative demands. Next, we use time-varying availability as the optimization objective under a cost constraint to obtain the optimal configuration program in every period by convex optimization methods. A selection rule known as the mode method is introduced to select the proper global stock policy. Finally, a numerical example is presented to demonstrate the approach, and several inventory policies are compared to prove the superiority of the proposed method. © 2016, Editorial Board of JBUAA. All right reserved.
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页码：1025 / 1031
页数：6
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