Combining genetic algorithm and simulation for the mixed-model assembly line balancing problem

被引：0
|
作者：
Su, Ping [1 ]
Lu, Ye [1 ]
机构：
[1] Guangdong Univ Technol, Dept Mechatron Engn, Guangzhou 510006, Peoples R China
来源：
ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 4, PROCEEDINGS | 2007年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the mixed-model assembly line balancing problem is addressed The aim of the research is to smooth the workload balance within each workstation. A genetic algorithm is proposed to search a solution of the assignment of tasks for line balancing problem. Based on the solution of the assignment of tasks, the optimal sequence for different models to minimize cycle time of the line is solved with a genetic algorithm. The farther research on line balancing problem is carried out with simulation experiment. A numerical example is used to illustrate the approach proposed in this paper, and it shows that the approach is efficient for the mixed-model assembly line balancing problem.
引用
收藏
页码：314 / +
页数：2
相关论文
共 50 条
  • [1] Combining genetic algorithm and simulation analysis for mixed-model assembly line balancing problem
    Yu, Zhao-Qin
    Su, Ping
    [J]. Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2008, 14 (06): : 1120 - 1129
  • [2] The Improved Genetic Algorithm for Balancing Mixed-model Assembly Line
    Tang, Qiuhua
    Liang, Yanli
    [J]. NUMBERS, INTELLIGENCE, MANUFACTURING TECHNOLOGY AND MACHINERY AUTOMATION, 2012, 127 : 603 - 608
  • [3] A hybrid genetic algorithm approach to mixed-model assembly line balancing
    Haq, A. Noorul
    Rengarajan, K.
    Jayaprakash, J.
    [J]. International Journal of Advanced Manufacturing Technology, 2006, 28 (3-4): : 337 - 341
  • [4] Mixed-model Assembly Line Balancing Using the Hybrid Genetic Algorithm
    Bai Ying
    Zhao Hongshun
    Zhu Liao
    [J]. 2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL III, 2009, : 242 - +
  • [5] A hybrid genetic algorithm approach to mixed-model assembly line balancing
    Haq, AN
    Rengarajan, K
    Jayaprakash, J
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2006, 28 (3-4): : 337 - 341
  • [6] A hybrid genetic algorithm approach to mixed-model assembly line balancing
    A. Noorul Haq
    K. Rengarajan
    J. Jayaprakash
    [J]. The International Journal of Advanced Manufacturing Technology, 2006, 28 : 337 - 341
  • [7] A genetic algorithm based approach to the mixed-model assembly line balancing problem of type II
    Simaria, AS
    Vilarinho, PM
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2004, 47 (04) : 391 - 407
  • [8] A Genetic Algorithm for the Mixed-Model U-Line Balancing Problem
    Dong, Hai
    Cao, Jianhua
    Zhao, Weiling
    [J]. MANUFACTURING PROCESS AND EQUIPMENT, PTS 1-4, 2013, 694-697 : 3391 - +
  • [9] Mixed-model assembly line sequencing with hybrid genetic algorithm and simulation
    Dong, JH
    Xiao, TY
    Fan, SH
    Qiang, L
    [J]. SYSTEM SIMULATION AND SCIENTIFIC COMPUTING (SHANGHAI), VOLS I AND II, 2002, : 541 - 545
  • [10] A genetic algorithm for the balancing and sequencing problem in the mixed-model U-line
    Zhan, Yang
    Zhang, Rui
    [J]. PROCEEDINGS OF THE 2013 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN PRODUCTION AND LOGISTICS SYSTEMS (CIPLS), 2013, : 123 - 130
12345