• DocumentCode
    2260380
  • Title

    Machine Tools Selection Technology for Networked Manufacturing

  • Author

    Sun, Bo ; Chen, Hua ; Du, Laihong ; Fang, Yadong

  • Author_Institution
    Inst. of Mech. & Electr. Eng., XVan Technol. Univ., Xian
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    530
  • Lastpage
    534
  • Abstract
    Networked manufacturing is cooperative manufacturing on the basis of various hierarchy resources sharing in its nature, and it takes the form of agile virtual enterprise (AVE). It´s important to get the optimum Cooperative enterprise scheme by analyzing, arranging and evaluating manufacturing capability of candidate enterprise for cooperative manufacturing. The level of machine tools is main factor of enterprise manufacturing capability. The paper analyzes the art of machine tools selection, and introduces the advantage of machine tools selection based on grey relation theory and AHP method. Firstly, machine tools selection index system is discussed according to cost, time and quality. Secondly, machine tools multi-hierarchy grey selection model is put forward for selection evaluation system. Lastly, the paper discusses machine tools selection problem by giving an example of working procedure about semi-finishing turning flank groove for one aeroplane engineer front casket.
  • Keywords
    machine tools; manufacturing systems; virtual enterprises; agile virtual enterprise; cooperative enterprise; cooperative manufacturing; machine tools; multi-hierarchy grey selection model; networked manufacturing; Costs; IP networks; Information technology; Intelligent networks; Machine intelligence; Machine tools; Machining; Manufacturing processes; Production systems; Virtual manufacturing; Networked manufacturing; machine tools selection; multi-hierarchy grey selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.421
  • Filename
    4739629