Assembly line balancing based on a genetic algorithm

被引:0
作者
Lin, Xiumu [1 ]
Zhang, Youjun [1 ]
机构
[1] Shenyang Univ Technol Econ & Technol Dev Area, Sch Mech Engn, Shenyang 110870, Liaoning, Peoples R China
来源
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ADVANCED ENGINEERING MATERIALS AND TECHNOLOGY | 2015年 / 38卷
关键词
assembly line balancing; genetic algorithm; optimization;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Assembly line balancing research is a key for the modern production. The implementation steps of genetic algorithm are proposed in this paper and it is used to optimize the assembly line balancing problems in engineering practice. The genetic algorithm operators based on feasible operating sequences of these job orders, which is guarantee the feasibility of the solution, and the optimal retention strategy is used to ensure the effective of the algorithm. Finally the assembly line reduce 2 work stations after calculation, and it makes each station load become more uniform.
引用
收藏
页码:597 / 600
页数:4
相关论文
共 5 条
[1]  
Hou L., 2014, INT J ADV MANUF TECH, V70, P1775
[2]   Literature review of assembly line balancing problems [J].
Sivasankaran, P. ;
Shahabudeen, P. .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2014, 73 (9-12) :1665-1694
[3]   A review of the current applications of genetic algorithms in assembly line balancing [J].
Tasan, Seren Ozmehmet ;
Tunali, Semra .
JOURNAL OF INTELLIGENT MANUFACTURING, 2008, 19 (01) :49-69
[4]  
Wang H., 2009, J MICROCOMPUTER INFO, V25, P306
[5]  
Yu J., 2014, INT J ADV MANUF TECH, V48, P347