多目标优化的多品种维修器材分配问题研究

doi:10.3969/j.issn.1000-1093.2017.06.019

兵工学报 ›› 2017, Vol. 38 ›› Issue (6): 1186-1191.doi: 10.3969/j.issn.1000-1093.2017.06.019

多目标优化的多品种维修器材分配问题研究

杨帆，王铁宁

（装甲兵工程学院技术保障工程系，北京 100072）

收稿日期:2016-11-04 修回日期:2016-11-04 上线日期:2017-12-15
通讯作者: 王铁宁（1962—），男，教授，博士生导师 E-mail:wtn0728@163.com
作者简介:杨帆（1990—），女，博士研究生。E-mail：673729309@qq.com
基金资助:
军队科研计划项目(2016年）

Research on Multi-objective Optimization of Multi-item Maintenance Material Distribution Problem

YANG Fan， WANG Tie-ning

(Department of Technical Support Engineering, Academy of Armored Force Engineering, Beijing 100072, China)

Received:2016-11-04 Revised:2016-11-04 Online:2017-12-15

摘要/Abstract

摘要： 为了更好地满足部队维修器材需求，优化需求数量超过供应中心库存数的多品种维修器材分配整合供应问题，建立了保障重点、兼顾公平、效用最大的多目标优化模型。提出了采用灰色关联度方法对多目标进行处理，将多目标转化为单目标问题，并将之内嵌到改进遗传算法中。实例验证表明，该算法最优适应度值及平均适应度值可分别降低31.538 5%和37.371 1%，验证了该模型能有效减少器材分配失衡，提高器材供应效率。

关键词: 兵器科学与技术, 维修器材, 多目标优化, 灰色关联度, 遗传算法

Abstract: A multi-objective optimization model is established for multi-item maintenance material distribution to help the supply centers satisfy the maintenance material demands of troops. In the proposed model, the priority, fairness and efficiency are taken as the multi-objects. An improved genetic algorithm is combined with grey correlation degree method, which can transfer multi-objective problem to single-objective problem. The example verification shows that the best and mean fitness values are reduced by 31.538 5% and 37.371 1%, respectively. The proposed model can be used to reduce the unfairness of multi-item maintenance material distribution, and improve the efficiency of materials supply. Key

Key words: ordnancescienceandtechnology, maintenancematerial, multi-objectiveoptimization, greycorrelationdegree, geneticalgorithm

中图分类号:

杨帆，王铁宁. 多目标优化的多品种维修器材分配问题研究[J]. 兵工学报, 2017, 38(6): 1186-1191.

YANG Fan， WANG Tie-ning. Research on Multi-objective Optimization of Multi-item Maintenance Material Distribution Problem[J]. Acta Armamentarii, 2017, 38(6): 1186-1191.

参考文献

［1］聂成龙,张建荣.多品种维修器材库存决策优化技术[M].北京:国防工业出版社,2015.
NIE Cheng-long, ZHANG Jian-rong. Inventory decision optimization technique of multi-item maintenance materials[M]. Beijing: National Defense Industry Press, 2015.（in Chinese）
[2］刘亚东,孙志刚. 多品种维修器材统一订购策略的库存决策模型[J].火力与指挥控制,2013,38(1):133-137.
LIU Ya-dong, SUN Zhi-gang. Inventory decision model of unanimous ordering policy with multi-item maintenance materials[J]. Fire Control & Command Control, 2013,38(1):133-137.(in Chinese)
[3］张建荣,于永利,张柳,等. 维修器材联合订货的库存决策模型[J].系统工程与电子技术,2013,35(1):109-112.
ZHANG Jian-rong, YU Yong-li, ZHANG Liu, et al. Inventory decision model of joint ordering policy with maintenance materials[J]. Systems Engineering and Electronics, 2013, 35(1):109-112.(in Chinese)
[4］张迷,贺兴时. 多目标优化问题的花授粉算法改进[J].西安工程大学学报,2016,30(3):343-399.
ZHANG Mi, HE Xing-shi. An improvement of flower pollination algorithm in multi-objective optimization[J]. Journal of Xi'an Polytechnic University, 2016,30(3):343-399.(in Chinese)
[5］ Kundu P K, Zhang Y, Ray A K. Multi-objective optimization of simulated countercurrent moving bed chromatographic reactor for oxidative coupling of methane [J]. Chemical Engineering Science, 2009,64(19):4137-4149.
[6］肖晓伟,肖迪,林锦国,等.多目标优化问题的研究概述[J].计算机应用研究,2011,28(3):805-827.
XIAO Xiao-wei, XIAO Di, LIN Jin-guo, et al. Overview on multi-objective optimization problem research[J]. Application Research of Computers, 2011,28(3):805-827.(in Chinese)
[7］兰世海.改进蚁群算法研究及其在车辆调度中的应用[D].上海:东华大学,2007.
LAN Shi-hai. Study on improved ant colony algorithm and its application in the vehicle scheduling[D]. Shanghai: Donghua University, 2007.(in Chinese)
[8］ Qin M Y, Liu D W, Luo Y S. Multi-objective optimization of turning parameters based on gray system theory[J]. Hydromechatronics Engineering, 2013,41(24):97-100.
[9］扶名福,谢明祥,饶泓,等.基于综合关联度分析的风机故障诊断[J].中国机械工程,2007,18(20):2403-2405.
FU Ming-fu,XIE Ming-xiang,RAO Hong,et al. Fault diagnosis of suction fan based on the synthetically relational analysis[J].China Mechanical Engineering,2007,18(20):2403-2405.(in Chinese)

[10］韩朝晖,叶南海.混合离散变量的多目标优化设计灰色综合关联度算法[J].湖南农业大学学报:自然科学版,2008,34(4): 495-497.
HAN Zhao-hui,YE Nan-hai. Grey synthetically relational degree algorithm of multi-objective design with hybrid discrete variables[J].Journal of Hunan Agricultural University:Natural Sciences,2008,34(4):495-497.(in Chinese)
[11］骆清国,尹洪涛,宁兴兴.一种基于有向图的冷却系统原理方案设计方法[J].兵工学报,2016,37(1):10-16.
LUO Qing-guo, YIN Hong-tao, NING Xing-xing. A design method of cooling system principle scheme based on directed graph[J].Acta Armamentarii,2016,37(1):10-16.(in Chinese)
[12］车晓毅,罗佑新,汪超. 高维多目标优化设计的灰色微粒群算法[J].机械传动,2009,33(1):55-58.
CHE Xiao-yi, LUO You-xin, WANG Chao. Grey particle swarm optimal algorithm for high dimension multi-objective optimization design[J]. Journal of Mechanical Transmission, 2009, 33(1):55-58.(in Chinese)
[13］郭惠昕,车晓毅,肖伟跃.混沌遗传优化算法及其在机械优化设计中的应用[J].机械设计,2003,20(10):23-25.
GUO Hui-xin,CHE Xiao-yi,XIAO Wei-yue. Chaos-genetic optimal algorithm and application in mechanical optimal design[J].Journal of Machine Design, 2003,20(10):23-25.(in Chinese)
[14］董朝阳,路遥,王青.改进的遗传算法求解火力分配优化问题[J].兵工学报,2016,37(1)：97-102.
DONG Chao-yang, LU Yao, WANG Qing. Improved genetic algorithm for solving firepower distribution[J].Acta Armamentarii, 2016,37(1)：97-102.(in Chinese)

第38卷
第6期2017 年6月兵工学报ACTA
ARMAMENTARIIVol.38No.6Jun.2017

[1]	马也，范文慧，常天庆. 基于智能算法的无人集群防御作战方案优化方法[J]. 兵工学报, 2022, 43(6): 1415-1425.
[2]	鲁宇明，张祥飞，黎明，赵闵清. 基于约束多目标优化算法的夹具定位方案稳健性优化设计[J]. 兵工学报, 2022, 43(3): 686-693.
[3]	胡晶，翟九童，张心明，李海龙，荀博. 基于响应面法的双级串联轴承结构优化设计[J]. 兵工学报, 2022, 43(3): 694-703.
[4]	汤润之, 班利明, 钱乐, 雷争军, 宋卫星. 资源受限条件下车辆维修工序调度优化[J]. 兵工学报, 2021, 42(9): 2032-2039.
[5]	司骥跃，庞兆君，由锰，冯广斌，杜忠华. 空间绳网结构设计及优化方法[J]. 兵工学报, 2021, 42(5): 1065-1073.
[6]	冯睽睽，张发平，王武宏，张文杰，张田会. 基于非支配排序遗传算法的涡轮发动机转子系统装配参数优化[J]. 兵工学报, 2021, 42(5): 1092-1100.
[7]	高子茵，杜明刚，李慎龙，李晋. 基于遗传算法优化和模糊控制动态优化的自动变速器换挡规律设计[J]. 兵工学报, 2021, 42(4): 684-696.
[8]	孙晓旺，张进成，彭兵，章金坤，王显会. 军用车辆底部爆炸冲击下载员下肢保护装置设计与优化[J]. 兵工学报, 2021, 42(12): 2555-2564.
[9]	钱龙，常思江，倪旖. 旋转稳定弹扰流片气动外形多目标优化设计[J]. 兵工学报, 2021, 42(12): 2575-2585.
[10]	王少华，吕会强，董原生，张远. 装备伴随抢修任务分配决策方法[J]. 兵工学报, 2021, 42(1): 192-198.
[11]	张成，柳朝阳，顾克秋. 超轻型火炮后大架缓冲机理及特性优化[J]. 兵工学报, 2020, 41(9): 1752-1761.
[12]	刘秋，孙晋伟，张华, 胡煦，顾亮. 基于卷积神经网络的路面识别及半主动悬架控制[J]. 兵工学报, 2020, 41(8): 1483-1493.
[13]	叶海潮，范武林，秦国华，林锋，郑许，杨扬. 基于翘曲度阈值约束的铝合金板材热轧工艺优化与实验验证[J]. 兵工学报, 2020, 41(8): 1623-1632.
[14]	靳冰洋，刘峥，秦基凯. 基于灰色关联度的两级实时航迹关联算法[J]. 兵工学报, 2020, 41(7): 1330-1338.
[15]	奚之飞，徐安，寇英信，李战武，杨爱武. 基于前景理论的空战目标威胁评估[J]. 兵工学报, 2020, 41(6): 1236-1248.

多目标优化的多品种维修器材分配问题研究

Research on Multi-objective Optimization of Multi-item Maintenance Material Distribution Problem

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价