Layout design and optimization of industrial robot automated production line based on genetic algorithm

被引:0
|
作者
Zhang, Yang [1 ]
机构
[1] Shanghai Urban Construct Vocat Coll, Sch Artificial Intelligence Applicat, Shanghai 201415, Peoples R China
关键词
Genetic algorithm; industrial robot; production line layout; availability model; fitness model; task assignment;
D O I
10.3233/JCM-226557
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the development of the world consumption economy, the demand of the society on the production efficiency of the workshop is increasing. In order to improve the production efficiency of the industrial robot automatic production line, the working mathematical model of the industrial robot automatic production line is built, and the improved genetic algorithm is used to optimize the layout of the industrial robot automatic production line. The simulation results show that, compared with the selected design method based on a standardized production line and the optimization method based on genetic algorithm, the layout production scheme output by the improved genetic algorithm has higher space utilization efficiency, shorter material handling distance in the workshop, and better overall layout effect. When the experimental time is 14 units, the space utilization rate of the output solution of the improved genetic algorithm is 94%, and the index of the other methods is lower than 70%. Moreover, the material handling distance of the former is the closest to the straight line, and the zoning planning of production equipment and materials is the most reasonable. The experimental data show that the layout optimization method of industrial robot automatic production line based on improved genetic algorithm can effectively improve the planning quality of the production line and improve the production efficiency.
引用
收藏
页码:469 / 484
页数:16
相关论文
共 50 条
  • [1] Optimization Design of Mobile Robot Based on Genetic Algorithm
    Wang Haiying
    Xu Rui
    Bai Mingyou
    Jia Jinlin
    2009 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-7, CONFERENCE PROCEEDINGS, 2009, : 767 - 771
  • [2] Workshop Layout Optimization Based On Genetic Algorithm
    Qiao, Long
    Yu, Hong Bin
    Sun, Jian Jun
    MANUFACTURING ENGINEERING AND AUTOMATION II, PTS 1-3, 2012, 591-593 : 169 - 173
  • [3] Genetic Algorithm for Layout Optimization Design of Coal Stock Under Coal Production Conditions
    Li Jinfa
    Wang Jinfeng
    PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE OF MANAGEMENT SCIENCE AND INFORMATION SYSTEM, VOLS 1-4, 2009, : 1614 - 1617
  • [4] Ship Cabin Layout Optimization Design Based On The Improved Genetic Algorithm Method
    Wang, Yun Long
    Wang, Chen
    Lin, Yan
    MECHATRONICS AND APPLIED MECHANICS II, PTS 1 AND 2, 2013, 300-301 : 146 - 149
  • [5] Genetic Algorithm for Robot Workcell Layout Problem
    Zhang Jian
    Li Ai-Ping
    2009 WRI WORLD CONGRESS ON SOFTWARE ENGINEERING, VOL 4, PROCEEDINGS, 2009, : 460 - +
  • [6] Automated layout design of beam-slab floors using a genetic algorithm
    Nimtawat, Anan
    Nanakorn, Pruettha
    COMPUTERS & STRUCTURES, 2009, 87 (21-22) : 1308 - 1330
  • [7] Optimization of Warehouse Layout Based on Genetic Algorithm and Simulation Technique
    Pan, Changhong
    Yu, Shaozheng
    Du, Xiaojing
    PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, : 3632 - 3635
  • [8] Optimization design and numerical verification of the cross-sectional layout of an umbilical based on the genetic algorithm
    Yang Z.-X.
    Yin X.
    Yan J.
    Fan Z.-R.
    Shi D.-Y.
    Tian G.
    Cao D.-H.
    Chuan Bo Li Xue/Journal of Ship Mechanics, 2024, 28 (05): : 725 - 734
  • [9] A genetic algorithm for the design of a single-row layout in automated manufacturing systems
    Ponnambalam, SG
    Ramkumar, V
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2001, 18 (07) : 512 - 519