• DocumentCode
    1962771
  • Title

    Research on semiconductor supply chain coordinated planning of multiple wafer fabrication plants based on knowledge evolution algorithm

  • Author

    Ma, Huimin ; Zhang, Shuang ; Xu, Mengjun ; Huang, Lina

  • Author_Institution
    Bus. Sch., Shanghai Dianji Univ., Shanghai, China
  • Volume
    3
  • fYear
    2012
  • fDate
    20-21 Oct. 2012
  • Firstpage
    219
  • Lastpage
    223
  • Abstract
    The problem of semiconductor supply chain coordinated planning with multiple wafer fabrication plants, multiple probe plants, multiple assembly plants and multiple final test plants is studied. A model of this problem was constructed, and a method based on knowledge evolution algorithm was proposed to solve this problem. An example was presented and by contrast with the method of particle swarm optimization algorithm, the simulation results demonstrated the validity of the proposed model and method, and it also indicated the optimization performance of knowledge evolution algorithm is better than particle swarm optimization algorithm.
  • Keywords
    assembling; evolutionary computation; industrial plants; particle swarm optimisation; planning; production testing; semiconductor industry; semiconductor technology; supply chain management; knowledge evolution algorithm; multiple assembly plant; multiple final test plant; multiple probe plant; optimization performance; particle swarm optimization algorithm; semiconductor supply chain coordinated planning; wafer fabrication plant; Optimization; Probes; coordinated planning; knowledge evolution algorithm; multiple wafer fabrication plants; semiconductor supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2012 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4673-1932-4
  • Type

    conf

  • DOI
    10.1109/ICIII.2012.6339959
  • Filename
    6339959