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遗传算法优化的汽车混流装配线投产排序决策
引用本文:黄银娣,卞荣花,徐振,余伟.遗传算法优化的汽车混流装配线投产排序决策[J].现代制造工程,2011(10):83-88,96.
作者姓名:黄银娣  卞荣花  徐振  余伟
作者单位:南京林业大学汽车与交通工程学院;德国德累斯顿工业大学机械院物流与工作系统研究所;
基金项目:江苏省高等教育自然科学基金项目(09KJD580005); 江苏省公派留学基金项目(德国)
摘    要:采用遗传算法,以车辆完成装配的总等待时间最少为目标,对汽车混流装配线进行投产排序优化,通过AutoMod仿真软件和遗传算法优化,得出了优化方案,其目标值减少69.5%,大大提高了企业生产效率,从而证明了遗传优化算法的有效性.

关 键 词:投产排序  混流装配  遗传算法优化

Mixed model vehicle assembly lines sequencing decision based on genetic algorithm optimization
HUANG Yin-di,BIAN Rong-hua,XU Zhen,YU Wei.Mixed model vehicle assembly lines sequencing decision based on genetic algorithm optimization[J].Modern Manufacturing Engineering,2011(10):83-88,96.
Authors:HUANG Yin-di    BIAN Rong-hua  XU Zhen  YU Wei
Affiliation:HUANG Yin-di1,2,BIAN Rong-hua1,XU Zhen1,YU Wei1(1 Department of Automobile and Transportation Engineering,Nanjing Forestry University,Nanjing 210037,China,2 Institut für Technische Logistik und Arbeitssysteme,Technische Universitaet Dresden,Dresden-Plauen 01187,Germany)
Abstract:Studied optimization problems of sequencing for an actual mixed model passenger car factory assembly line by applying genetic algorithm.The optimization objective is the least total waiting time of vehicle to complete assembly.The optimal sequencing solution is obtained under the environment of the AutoMod simulation software and by using genetic algorithm optimization.The objective value is reduced by 69.5%,and it improves production efficiency greatly.This also proves the effectiveness of genetic algorith...
Keywords:sequencing  mixed model assembly  genetic algorithm optimization  
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