• DocumentCode
    2828132
  • Title

    The simulation study of the maximum learning incremental worker-station assignment based on learning- forgetting

  • Author

    Huizhen Liu ; Bixi Zhang ; Shengqiang Hu ; Shihua Guan ; Yuling Zhang

  • Author_Institution
    Sch. of Manage., Guangdong Univ. of Technol., Guangzhou, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    7852
  • Lastpage
    7854
  • Abstract
    The paper simulates worker-station assignment based on learning-forgetting, and develops the model of the maximum learning incremental. The goal of this model is the maximum learning incremental. Job rotation is used in this model. One worker is trained more than one job .It makes the process of learning longer. After the long process of learning, workers become generalists. The production system is more flexible. Dependence on staff is relatively small in the production system. It is perfect for modern enterprises in make-to-order and competitive environment. Simulations of the production system are performed under given particular production environment for heterogeneous workers based on specific objectives. It is of the guiding role in practice production system.
  • Keywords
    flexible manufacturing systems; industrial psychology; industrial training; labour resources; multiskilling; flexible production system; forgetting model; job rotation; learning; maximum learning incremental; worker station assignment; worker training; Educational institutions; Ergonomics; Industrial engineering; Manufacturing; Mathematical model; Production systems; learning-forgetting; the model of the learning incremental; worker-station assignment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5988874
  • Filename
    5988874