• DocumentCode
    2946149
  • Title

    An Improved Delphi Method for Machinability Evaluation and Examination in Process Planning

  • Author

    Xu, Huan-Min ; Wei, Jing ; Yuan, Ming-Hai

  • Author_Institution
    Coll. of Mech. & Electr. Eng., HoHai Univ., Changzhou, China
  • Volume
    3
  • fYear
    2009
  • fDate
    11-12 April 2009
  • Firstpage
    669
  • Lastpage
    672
  • Abstract
    Machinability evaluation and examination is fundamental for process planning while an effective weight method is one of the primary concerns of machinability evaluation and examination in process planning. In this paper, a new improved approach for calculating the weights of extracted indices in machinability evaluation and examination in process planning is proposed based on the conventional Delphi method, The proposed approach is the statistical method that is applied to develop an algorithm for calculating weights of extracted machinability indices. The proposed method follows three steps: (1) extracted machinability indices are sequenced according to importance by domain experts; (2) the statistical values are obtained from the evaluation data given by these experts; (3) the weights of extracted machinability indices are calculated according to this approach. The new method in the paper provides one solution to the existing evaluation system. An application case is used to illustrate the process of calculation of weights of extracted machinability indices in machinability evaluation and examination in process planning.
  • Keywords
    machinability; process planning; statistical analysis; extracted machinability indices; improved Delphi method; machinability evaluation; process planning; statistical method; Aerospace industry; Data mining; Educational institutions; Electric variables measurement; Machining; Manufacturing processes; Mechanical variables measurement; Mechatronics; Process planning; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
  • Conference_Location
    Zhangjiajie, Hunan
  • Print_ISBN
    978-0-7695-3583-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2009.452
  • Filename
    5203292