• DocumentCode
    2917926
  • Title

    A novel decision support framework for industrial processes

  • Author

    Yu, Xinghuo ; Chiou, Andrew ; Dodd, Roland

  • Author_Institution
    Sch. of Electr. & Comput. Eng., R. Melbourne Inst. of Technol., Melbourne Vic., Australia
  • fYear
    2005
  • fDate
    6-10 Nov. 2005
  • Abstract
    In this paper, a novel industrial decision support framework is discussed. This framework takes consideration of special features of industrial processes and makes use of intelligent and complex systems technologies to facilitate quality decision-making in industrial setting. The structure of the framework is described in details with some case studies used to illustrate its use.
  • Keywords
    decision making; decision support systems; industrial engineering; knowledge based systems; quality control; complex system; decision support framework; industrial process; intelligent system; quality decision-making; Automation; Chemical industry; Costs; Decision making; Decision support systems; Expert systems; Humans; Industrial relations; Intelligent systems; Sugar industry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2005. IECON 2005. 31st Annual Conference of IEEE
  • Print_ISBN
    0-7803-9252-3
  • Type

    conf

  • DOI
    10.1109/IECON.2005.1569246
  • Filename
    1569246