北京航空航天大学学报 ›› 2015, Vol. 41 ›› Issue (12): 2340-2347.doi: 10.13700/j.bh.1001-5965.2015.0011

• 论文 • 上一篇    下一篇

混合约束下随船备件配置优化方法

蔡芝明1,2, 金家善1,2, 陈砚桥1,2   

  1. 1. 海军工程大学 舰船动力工程军队重点实验室, 武汉 430033;
    2. 海军工程大学 动力工程学院, 武汉 430033
  • 收稿日期:2015-01-05 修回日期:2015-02-12 出版日期:2015-12-20 发布日期:2016-01-04
  • 通讯作者: 金家善(1962-),男,山东青岛人,教授,jinjiashan401@163.com,主要研究方向为舰船动力及热力系统的科学管理. E-mail:jinjiashan401@163.com
  • 作者简介:蔡芝明(1984-),男,安徽蚌埠人,博士研究生,caizhiming1984@163.com
  • 基金资助:
    国防预研项目(51319060103);中国博士后科学基金(2013T60921)

Warship spare parts allotment optimization method under mixed-constraints

CAI Zhiming1,2, JIN Jiashan1,2, CHEN Yanqiao1,2   

  1. 1. Military Key Laboratory for Naval Ship Power Engineering, Naval University of Engineering, Wuhan 430033, China;
    2. College of Power Engineering, Naval University of Engineering, Wuhan 430033, China
  • Received:2015-01-05 Revised:2015-02-12 Online:2015-12-20 Published:2016-01-04

摘要: 国内外针对随船备件配置优化问题的研究目前主要集中在只有定性或定量约束上,而对既有定性又有定量约束的混合问题研究比较少.首先以舰船出海任务准备阶段为背景,以保障费用、仓库空间、载荷及维修能力为约束条件,以备件保障概率为目标函数,建立了约束因素判断矩阵并进行一致性检验,运用专家打分、归一化及边际效应法对模型进行求解;其次提出了一种系统资源约束因子确定、动态调整的方法,并对模型算法进行了优化;最后通过案例分析验证了本文提供的方法能够为解决混合约束下随船备件配置优化问题提供新的尝试.

关键词: 混合约束, 备件, 备件保障概率, 配置优化, 判断矩阵, 边际效应法

Abstract: The quantitative or qualitative constraints of the warship spare parts allotment optimization problems are mainly focused on by the group of international and domestic academics, the mixed problems which include all of them are relatively less in the previous papers. Firstly, the warship carrying spare parts at the mission preparation before sailing was taken as a research background, the warship support cost, warehouse space, carrying ability and maintainability were adopted as mixed-constraints conditions, an optimized model of the warship spare support probability was built, the method of scoring by experts, normalization and marginal algorithm were applied to build the warship spare parts allotment optimization model and process optimization. Secondly, the model algorithms and system resource constrained factors were being confirmed and dynamically updated. Finally, in the given example, the calculated result was analyzed, and the feasibility of the proposed method was verified.

Key words: mixed-constraints, spare parts, spares support probability, allotment optimization, comparison matrix, marginal effect method

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