• DocumentCode
    3576696
  • Title

    A simulation based system for manufacturing process optimisation

  • Author

    Ismail, H.S. ; Wang, L. ; Poolton, J.

  • Author_Institution
    Int. Bus. Sch. Suzhou, Xian Jiaotong-Liverpool Univ., Suzhou, China
  • fYear
    2014
  • Firstpage
    963
  • Lastpage
    967
  • Abstract
    Simulation models have been extensively used in manufacturing to enhance the design, planning and decision making processes. However, the tendency has been to use simulation in one-off applications, often at the start of a project and not take account of inherent process changes over time. This has inhibited their contribution as a realtime decision make tool. This paper describes how simulation is used as a component of an integrated optimisation platform to support real-time decision making in a highly variable manufacturing process environment where outputs are stochastic. The paper follows by proposing an integrated framework for addressing issues of process variability in simulation based systems.
  • Keywords
    manufacturing systems; optimisation; production engineering computing; stochastic processes; integrated optimisation platform; manufacturing process optimisation; real-time decision making; simulation based system; stochastic method; Analytical models; Data models; Decision making; Manufacturing; Optimization; Production; Solid modeling; Manufacturing Systems; Optimisation; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/IEEM.2014.7058781
  • Filename
    7058781