• DocumentCode
    283377
  • Title

    An intelligent knowledge-based scheduler for heavy manufacturing

  • Author

    Buchanan, J.T. ; Burke, P. ; Costello, J. ; Prosser, P.

  • Author_Institution
    Dept. of Comput. Sci., Strathclyde Univ., Glasgow, UK
  • fYear
    1988
  • fDate
    32283
  • Firstpage
    42522
  • Lastpage
    42524
  • Abstract
    A consortium from Alcan, YARD and the computer science department at the University of Strathclyde are collaborating on an Alvey-funded project on the use of intelligent knowledge-based systems (IKBS) techniques for production scheduling in heavy manufacturing. The main objectives of the project are: to research and develop methodologies for scheduling in heavy manufacturing and similar domains, and to produce an IKBS scheduling system to support production of aluminium plate at Alcan´s Kitts Green plant. The paper describes the approach taken within the project and the status of work at this midway stage. Topics addressed include domain features and relevant systems, requirements for the scheduler, knowledge acquisition and domain knowledge base, and scheduler design
  • Keywords
    expert systems; manufacturing computer control; production control; scheduling; Alcan; Alvey-funded project; IKBS scheduling system; Kitts Green plant; University of Strathclyde; YARD; aluminium plate; computer science department; domain features; domain knowledge base; heavy manufacturing; intelligent knowledge-based scheduler; intelligent knowledge-based systems; knowledge acquisition; production scheduling; relevant systems; requirements; scheduler design;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Artificial Intelligence in Planning for Production Control, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    209349