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基于遗传算法的凸轮轴生产线设备布局优化及仿真研究 被引量:6

Optimization and Simulation for Facility Layout of Camshaft Production Line Based on Genetic Algorithm
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摘要 为提高凸轮轴的生产效率,基于遗传算法对传统凸轮轴生产线设备布局进行优化。以凸轮轴生产线物流费用最低为目标函数,生产车间总长度、总宽度、设备间保留最小间距等为约束条件,建立凸轮轴生产线数学模型,通过MATLAB软件求得最优解。根据所求得的布局解,利用Flexsim仿真软件对凸轮轴车间机床布局进行仿真。结果表明:凸轮轴的日产量明显增加,设备布局优化后的物流费用降低,达到了预期目标。 In order to improve the production efficiency of camshaft,the facility layout of traditional camshaft production line was optimized based on genetic algorithm.Taking the lowest logistics cost of camshaft production line as the objective function,the total length,width and the minimum distance between equipments as the constraints,the mathematical model of camshaft production line was established,and the optimal solution was obtained by using MATLAB software.According to the obtained layout solution,the machine tool layout model of camshaft workshop was simulated by using Flexsim software.The results show that the daily output of camshaft increases obviously,the logistics cost is decreases after the facility layout is optimized,and the expected target is achieved.
作者 杨昆 邹健 任明杰 郭鹏辉 YANG Kun;ZOU Jian;REN Mingjie;GUO Penghui(Faculty of Mechanical Engineering and Automation, Liaoning University of Technology, Jinzhou Liaoning 121000, China)
出处 《机床与液压》 北大核心 2021年第1期124-129,共6页 Machine Tool & Hydraulics
基金 辽宁省自然科学基金项目(20180550872) 辽宁省教育厅一般项目(L2015241)。
关键词 凸轮轴生产线 设备布局 遗传算法 物流费用 Flexsim仿真 Camshaft production line Facility layout Genetic algorithm Logistics cost Flexsim simulation
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  • 1王定益,王丽亚.一种改进遗传算法在生产车间设备布局中的应用[J].计算机工程与应用,2005,41(14):190-192. 被引量:14
  • 2张卫德,严洪森,徐成.基于Flexsim的生产线仿真和应用[J].工业控制计算机,2005,18(9):46-47. 被引量:46
  • 3席裕庚,柴天佑,恽为民.遗传算法综述[J].控制理论与应用,1996,13(6):697-708. 被引量:344
  • 4北京威特尼斯科技中心.WITNESS工业物流仿真平台基础教程[G].北京:Lanner北京代表处,北京威特尼斯科技中心,2000.
  • 5Ma Zhengyuan.Research on virtual enterprise's technology for supply-oriented system[C] //Proceedings of IE & EM 2001,Tianjin.Beijing:Machinery Industry Press,2001:357-363.
  • 6玄光南,程润伟.遗传算法与工程优化[M].北京:科学出版社,2000:124-138.
  • 7Chase R B,Aquilano N J,Jacobs F R.Operations management for competitive advantage[M].New York:McGraw-Hill/Irwin,2004:86-97.
  • 8Caruana R A,Schaffer J D.Representation and hidden bias:gray vs.binary coding for genetic algorithms[C] //Proc 5th Int Conf Machine Learning,Ann Arbor,Michigan.San Fransisco:Morgan Kaufmann Publishers Inc,1988:153-161.
  • 9MARCELLOB SIMONE, LOUCIO Z. Layout design in dynamic environments: strategies and quantitative indices [J]. Tnt J Prod Res, 2003, 41(5):995 - 1016.
  • 10Gau K Y, Meller R D. An iterative facility layout algorithm. International Journal of Production Research, 1999, 37 (16): 3739 - 3758.

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