• DocumentCode
    555644
  • Title

    Planning and optimization of assembly line simulation

  • Author

    Zhang, Shun-tang ; Zhang, Dai-qin

  • Author_Institution
    Dept. of Manage. Sci. & Eng., Shandong Inst. of Bus. & Technol., Yantai, China
  • Volume
    Part 2
  • fYear
    2011
  • fDate
    3-5 Sept. 2011
  • Firstpage
    816
  • Lastpage
    820
  • Abstract
    The assembly line in manufacturing, especially in the manufacture of electronic products occupies an important position. Considering complex optimization problems in assembly-line planning, establishing a mathematic model about assembly-line balancing planning, applying genetic algorithms which is based on feasible operation sequence could help to acquire static optical solution of operating balance planning. While building dynamic simulation of the production-line to authenticate and evaluate the Dynamic performance of production line running. The results fed into the planning process to fix the static planning, consequently improve and optimize the overall design of assembly planning.
  • Keywords
    assembly planning; electronics industry; genetic algorithms; process design; process planning; assembly line balancing; assembly line planning; electronic products manufacture; genetic algorithms; mathematic model; optimization; production line dynamic performance; static planning design; Analytical models; Assembly; Biological cells; Object oriented modeling; Optimization; Planning; Production; Assembly-line balancing planning; genetic algorithm; production line simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-61284-446-6
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2011.6035284
  • Filename
    6035284