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多约束下编队随船备件配置优化方法 被引量:17

Warship formation spare parts allotment optimization method under multi-constraints
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摘要 针对舰艇编队备件配置方案的确定需要综合考虑多项约束指标因素的特点,以编队出海执行任务准备阶段备件配置为研究背景,以舰船载荷、排水量及保障费用为约束条件,构建了以编队备件保障概率为目标函数的编队随舰备件库存优化模型,应用拉格朗日乘子法及边际效应法原理给出了编队随船备件库存模型计算及优化流程,并运用罚函数原理对保障资源约束因子进行了确定及动态调整。最后,通过案例分析验证了本文提出的方法能够为解决多约束下编队随船备件配置优化问题提供新的途径。 The multi-constraints index is synthetically considered to confirm the spare parts configuration optimization project for the warship formation. This paper takes the warship formation carrying out the spare parts configuration optimization at the mission preparation stage before sailing as a research background. The warship formation carrying ability, storage space and support cost adopted as multi-constraints, an optimized model of the warship formation spare support probability is built. Lagrange and marginal algorithm are applied to building the warship spare parts allotment optimization model and process optimization, and the resource fac- tors are confirmed and dynamically updated. Finally, in the given example, the calculated result is analyzed, and the feasibility of the proposed method is verified.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2015年第4期838-844,共7页 Systems Engineering and Electronics
基金 中国博士后科学基金(2013T60921) 海军工程大学自然科学基金(HGDQNEQJJ13006)资助课题
关键词 编队 多约束 备件 备件保障概率 配置优化 边际效应法 拉格朗日乘子 warship formation multi-constraints spare partsl spare support probability allotment optimi-zation marginal analysis Lagrange
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参考文献19

  • 1Sherbrooke C C. METRIC: a multi-echelon technique for recover-able item control[J]. Operations Research,1968,16(1) : 122 - 141.
  • 2Sleptchenko A, Van der Heijden M C, Van Harten A. Effectsof finite repair capacity in multi-echelon,multi-indenture servicepart supply systems[J]. International Journal of ProductionEconomics , 2002, 79(3) : 209 - 230.
  • 3Rustenburg W D,Van Houtum G J, Zijm W H M. Spare partsmanagement at complex technology-based organizations : anagenda for research [J]. International Journal of ProductionEconomics,2001,71(1):177 - 193.
  • 4Loo H L,Ek P C,Suyna T,et al. Multi-objective simulationbased evolutionary algorithm for an aircraft spare parts allocationproblem[J]. European Journal of Operational Research,2008,189(2): 325 - 341.
  • 5Robert C K,Tovey C. Estimating spare requirements with com-monality and redundancy[J]. Journal of Spacecraft and Rock-ets , 2007’ 44(4): 977 - 984.
  • 6阮旻智,李庆民,彭英武,黄傲林,张光宇.多指标约束下舰载装备维修级别建模与优化[J].系统工程与电子技术,2012,34(5):955-960. 被引量:12
  • 7阮旻智,李庆民,张光宇,姚刚.多约束下舰船装备携行备件保障方案优化方法[J].兵工学报,2013,34(9):1144-1149. 被引量:27
  • 8王乃超,康锐.多约束条件下备件库存优化模型及分解算法[J].兵工学报,2009,30(2):247-251. 被引量:31
  • 9魏曙寰,陈砚桥,金家善.空间和费用约束条件下的随船备件配置优化方法[J].系统工程与电子技术,2013,35(12):2540-2544. 被引量:15
  • 10Nosoohi I,Hejazi S R. A multi-objective approach to simulta-neous times [ J]. Applied Mathematical Modeling , 2011,35(3): 1157 - 1166.

二级参考文献70

  • 1阮旻智,李庆民,李承,黄傲林.改进的分层边际算法优化备件的初始配置方案[J].兵工学报,2012,33(10):1251-1257. 被引量:21
  • 2魏效燕,刘晓东.基于AHP方法的军用飞机修理级别分析[J].航空维修与工程,2006(2):22-24. 被引量:16
  • 3卫忠,徐晓飞,战德臣,邓胜春.协同供应链多级库存控制的多目标优化模型及其求解方法[J].自动化学报,2007,33(2):181-187. 被引量:30
  • 4Bachman T C, Kline R C. Model for estimating spare parts requirements for future missions[R]. AIAA-2004-5978, 2004.
  • 5Fisher M L. The Lagrangian relaxation method for solving integer programming problems[J]. Management Science, 1981, 27(1): 1 - 18.
  • 6Sherbrooke C C. Optimal inventory modeling of systems, multiechelon techniques[M]. 2nd. Boston: Kluwer, 2002: 34-42.
  • 7贺国芳.可靠性数据处理与寿命评估[M].北京:北京航空航天大学,1991.
  • 8Barros L, Riley M. A combinatorial approach to level of repair analysis[J]. European Journal of Operational Research, 2001, 129(2) : 242 - 251.
  • 9Gutina G, Rafieya A, Yeo A, et al. Level of repair analysis and minimum cost homomorphisms of graphs[J]. Discrete Applied Mathematics, 2006, 154(6): 881- 889.
  • 10Saranga H, Kumar U D. Optimization of aircraft maintenance support infrastructure using genetic algorithms-level of repair analysis[J]. Annals of Operations Research, 2006, 143 ( 1 ) : 91 -106.

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