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科技导报  2015 

基于非泊松分布的不可修备件优化配置模型

DOI: 10.3981/j.issn.1000-7857.2015.01.017, PP. 95-99

Keywords: 不可修备件,优化配置,非泊松分布,遗传算法

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Abstract:

针对已有备件配置模型的局限性,研究需求服从非泊松分布的不可修备件优化配置模型.通过分析两级库存系统不可修备件的保障特点,将需求服从泊松分布的假设放宽,建立需求服从非泊松分布的不可修备件满足率通用模型,在此基础上构建以备件配置费用最小为优化目标,以系统备件配置满足率为约束条件的两级库存系统不可修备件配置优化模型,并通过遗传算法给出最优配置方案.结合案例的优化及验证结果显示,该优化配置模型适用于正态分布等需求服从非泊松过程的备件配置问题,其配置方案在保证系统备件配置总费用最低的前提下,使备件满足率达到95.02%,与Opus10软件的计算结果一致,表明优化配置模型的可行性和可靠性.

References

[1]  周伟,郭波,张涛. 两级供应关系装备常用备件初始配置模型[J]. 系统 工程与电子技术, 2011, 33(1): 89-93. Zhou Wei, Guo Bo, Zhang Tao. Initial configuration model for common equipment parts based on two-class supply relationship[J]. System Engineering and Electronics, 2010, 33(1): 89-93.
[2]  周伟,刘亚杰,郭波,等. 基于两级供应关系的武器装备贵重件初始配 置模型[J]. 系统工程理论与实践, 2011, 31(6): 1056-1061. Zhou Wei, Liu Yajie, Guo Bo, et al. Initial configuration model about the valuable parts of weapon system based on two- class supply relationship[J]. System Engineering-Theory & Practice, 2011, 31(6): 1056-1061.
[3]  付兴方, 李继军, 李宗植. 基于两级供应关系的可修复航材存储策略 模型研究[J]. 系统工程理论与实践, 2004, 2(4): 111-115. Fu Xingfang, Li Jijun, Li Zongzhi. A stock strategy model for restorable air material based on two- level providing condition[J]. System Engineering-Theory & Practice, 2004, 24(2): 111-115.
[4]  任敏, 陈全庆, 沈震. 备件供应学[M]. 长沙: 国防工业出版社, 2013. Ren Min, Chen Quanqing, Shen Zhen. The theory of spare parts supplies[M]. Changsha: National Defense Industry Press, 2013.
[5]  王乃超, 康锐. 基于备件保障概率的多级库存优化模型[J]. 航空学报, 2009, 30(6): 1043-1047. Wang Naichao, Kang Rui. Optimization of multi- echelon repariable item inventory systems with fill rate as objective[J]. Acta Aeronautica et Astronautica Sinica, 2009, 30(6): 1043-1047.
[6]  陶小创, 郭霖瀚, 肖波平, 等. 基于备件保障概率分配的备件需求量预 测模型[J]. 兵工学报, 2012, 33(8): 975-979. Tao Xiaochuang, Guo Linhan, Xiao Boping, et al. Demand prediction model for spare parts based on fill rate allocation[J]. Acta Armamentar, 2012, 33(8): 975-979.
[7]  Lee L H, Chew E P, Teng S, et al. Multi-objective simulation-based evolutionary algorithm for an aircraft spare parts allocation problem[J]. European Journal of Operational Research, 2008, 112(2): 885-894.
[8]  程海龙, 康锐, 龙军, 等. 基于边际效应的备件保障概率库存优化模型[J]. 兵工自动化, 2008, 27(11): 37-40. Cheng Hailong, Kang Rui, Long Jun, et al. Optimization model on support probability of spare part inventory based on margin utility[J]. Ordnance Industry Automation, 2008, 27(11): 37-40.
[9]  丁定浩. 可修备件保障概率的适用模型[J]. 电子产品可靠性与环境试 验, 2013, 31(2): 1-4. Ding Dinghao. The support probability model for repairable spare parts[J]. Electronic Product Reliability and Environmental Testing, 2013, 31 (2): 1-4.
[10]  Wong H, Cattrysse D, Oudheusden D V. Stocking decision for repairable spares pooling in a multi-hub system[J]. International Journal of Production Economics, 2005 (93): 309-317.
[11]  程海龙, 康锐, 韦艺, 等. 备件满足率与备件短缺量对比分析[J]. 北京 航空航天大学学报, 2008, 34(5): 580-583. Cheng Hailong, Kang Rui, Wei Yi, et al. Comparation analysis of fill rate and backorder[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(5): 580-583.
[12]  Christopher M A. Inventory optimization techniques, system vs item level inventory analysis[M]. Waltham: Raytheon Company, 2004.
[13]  Sherbrooke C C. Optimal inventory modeling of systems: Multi-echelon techniques[M]. 2nd ed. Boston: Kluwer Academic Publishers, 2004.
[14]  赵建忠, 李海军, 叶文, 等. 改进系统备件满足率约束下的备件优化 配置建模[J]. 兵工学报, 2013, 34(9): 1187-1192. Zhao Jianzhong, Li Haijun, Ye Wen, et al. Optimization configuration modeling of spare parts under constraint of improved system spare part fill rate[J]. Acta Armamentar, 2013, 34(9): 1187-1192.
[15]  Sobel M. J. Fill rate of single-stage and multi-stage supply systems[J]. Manufacturing & Service Operations Management 2004, 6(1): 41- 52.
[16]  Zhang Jiang, Zhang Jun. Fill rate of single- stage general periodic review inventory systems[J]. Operations Research Letters, 2007, 35(3): 503-509.
[17]  常文兵, 李宗辉. 基于遗传算法的航空备件费用优化研究[J]. 飞机设 计, 2007, 27(1): 65-68. Chang Wenbing, Li Zonghui. Research on genetic algorithm based aircraft spare parts cost optimization[J]. Aircraft Design, 2007, 27(1): 65-68.

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