• DocumentCode
    1403564
  • Title

    Process planning: a knowledge-based and optimization perspective

  • Author

    Kusiak, Andrew

  • Author_Institution
    Dept. of Ind. Eng., Iowa Univ., Iowa City, IA, USA
  • Volume
    7
  • Issue
    3
  • fYear
    1991
  • fDate
    6/1/1991 12:00:00 AM
  • Firstpage
    257
  • Lastpage
    266
  • Abstract
    Process planning for a part involves preparation of a plan that outlines the processing route, operations, machine tools, and so on. The decomposition of the process-planning task into eight phases is discussed. For each phase, problems and suitable solution approaches are discussed. Most process-planning problems are solved using a knowledge-based approach or a combination of optimization and knowledge-based approaches. The knowledge-based approach solves the qualitative subproblems, and the optimization perspective tackles the quantitative aspect of the subproblems. The concepts presented are illustrated with examples
  • Keywords
    knowledge based systems; manufacturing data processing; optimisation; planning (artificial intelligence); process control; production control; knowledge based systems; optimization; process-planning; processing route; Artificial intelligence; Data mining; Databases; Fixtures; Intelligent systems; Machine intelligence; Machine tools; Manufacturing automation; Process planning; Production;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.88135
  • Filename
    88135