• DocumentCode
    2854200
  • Title

    Non-cooperative game decision for capacity evaluation under output demand uncertainty

  • Author

    Yang, Ting ; Zhang, Dinghua ; Chen, Bing ; Li, Shan

  • Author_Institution
    Key Lab. of Contemporary Design & Integrated Manuf. Technol., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    560
  • Lastpage
    564
  • Abstract
    In order to solve decision problem for maximum production capacity of different products under output demand uncertainty, the non-cooperative game theory was introduced to describe competition relationship between various products for shared manufacturing resources. Firstly the production line model is built based on complex network, which the manufacturing resources was aggregated to manufacturing vertices and the process relationships was described as directed edges between vertices. Secondly the production capacity was evaluated through process analysis on running process of production line and manufacturing vertices, which available capacity and duty load of vertices were defined. Then the definition about Nash equilibrium was presented in course of solving maximum capacity. Finally an aero-engine casing production line was regarded as the research object. Then the optimal production capacity under output demand uncertainty is obtained. The effectiveness and feasibility of game decision model are proved.
  • Keywords
    game theory; manufacturing systems; production control; Nash equilibrium; aero-engine casing production line; capacity evaluation; maximum production capacity; noncooperative game decision; output demand uncertainty; Capacity planning; Games; Manufacturing processes; Nash equilibrium; Uncertainty; Complex network; Nash equilibrium; demand uncertainty; non-cooperative game; production capacity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4577-0740-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2011.6117979
  • Filename
    6117979