系统仿真学报 ›› 2020, Vol. 32 ›› Issue (3): 509-517.doi: 10.16182/j.issn1004731x.joss.18-0266

• 国家安全仿真 • 上一篇    下一篇

基于库存状态的备件初始配置及采购优化模型

邵松世*, 阮旻智, 张志华   

  1. 海军工程大学舰船与海洋学院,湖北 武汉 430033
  • 收稿日期:2018-05-17 修回日期:2018-09-02 出版日期:2020-03-18 发布日期:2020-03-25
  • 作者简介:邵松世(1979-),男,山东即墨,博士生,讲师,研究方向为武器系统与运用工程;阮旻智(1983-),男,湖北武汉,博士生,讲师,研究方向为武器系统与运用工程。
  • 基金资助:
    国防预研基金(51304302,51304303)

Model of Initial Spare Parts Configuration and Ordering Policy Optimization Based on Inventory State

Shao Songshi*, Ruan Minzhi, Zhang Zhihua   

  1. 1. College of Naval Architecture and Ocean Engineering, Naval University of Engineering, Wuhan 430033, China
  • Received:2018-05-17 Revised:2018-09-02 Online:2020-03-18 Published:2020-03-25

摘要: 合理规划备件配置方案是提高装备可用度和降低全寿命费用的有效途径。建立备件需求率预测模型,采用系统分析法构建备件保障效能评估指标体系,研究初始备件配置优化方法。针对不完全修复件的报废消耗问题,给出了近似拉普拉斯需求分布下的备件短缺函数,将(s-1, s)和 (R, Q)库存策略相结合,基于库存状态批量采购模式建立了不完全修复件的订购模型。通过案例应用,给出了保障效能约束下的优化结果,优化结果符合实际规律,验证了模型的正确性、方法的有效性以及方案的合理性。

关键词: 库存状态, 初始配置, 采购优化, 保障效能评估, 备件

Abstract: Rational planning of spare parts configuration project is an effective approach to improve the equipment availability and reduce the life cycle cost (LCC). First of all, the spare parts demand rate forecast model is constructed. According to the systemic analysis method, the spare parts support effectiveness evaluation targets system is built, and then, the initial spare parts configuration optimization method is researched. Aim to the consumption for partial repairable spare parts, the expected backorders function of the approximate Laplace demand distribution is given. Combining the (s-1, s) and (R, Q) inventory policy, the ordering model is established under the batch ordering policy based on inventory state. In a given example, the spares optimization under the constraint targets of support effectiveness is calculated, and its result is consistent with the practice regulation. The model's correctness, method's validity and the optimization project's rationality are proved.

Key words: inventory state, initial configuration, ordering optimization, support effectiveness evaluation, spares

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