• DocumentCode
    2020745
  • Title

    Workshop Material Handling System Lean Planning Based on Genetic Algorithm

  • Author

    Xiaohong, Lu ; Zhenyuan, Jia ; Fuji, Wang ; Wei, Liu

  • Author_Institution
    Key Lab. for Precision & Non-traditional Machining Technol. of Minist. of Educ., Dalian Univ. of Technol., Dalian
  • Volume
    1
  • fYear
    2008
  • fDate
    17-18 Oct. 2008
  • Firstpage
    261
  • Lastpage
    264
  • Abstract
    There exists severe wastes in the material handling system of the heavy weight parts machining workshop, which mainly includes the waste of work areas´ latency time and the waste of the material handling device´s moving distance that caused by frequent circular and reverse routes. To eliminate the waste, a new heavy weight parts machining workshop material lean scheduling method is advanced. The initial universal response scheduling scheme of the heavy weight parts handling system based on genetic algorithm resolves the shortest response route problem when the material handling equipment responds to the requests from all the work areas at the beginning of a workday, which is being restricted to working procedures and the requests of as few as possible blank line. The simulation result shows that the designed new scheduling method is superior to the traditional ones evidently.
  • Keywords
    genetic algorithms; lean production; machining; materials handling equipment; scheduling; genetic algorithm; lean planning; machining workshop; material lean scheduling method; universal response scheduling scheme; workshop material handling system; genetic algoritm; heavy weight parts; lean production; material handling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3311-7
  • Type

    conf

  • DOI
    10.1109/ISCID.2008.80
  • Filename
    4725604