• DocumentCode
    2876241
  • Title

    A new algorithm for IFFD generation

  • Author

    Liou, M. ; Dietz, H. ; Moskowitz, H. ; Plante, R.

  • Author_Institution
    Purdue Univ., West Lafayette, IN, USA
  • fYear
    1991
  • fDate
    27-31 Oct 1991
  • Firstpage
    332
  • Lastpage
    334
  • Abstract
    The authors describes the automated generation of optimal irregular fractional factorial designs (IFFDs), and for regular maximal subset designs (MSDs), for processes involving 2-level factors. They describe mechanisms on separating out confounded effects and new, efficient methods for IFFD generation. It is concluded that, although finding IFFD solutions by using a seed set of tests as a restriction shows some promise as a way to limit the search space, much work needs to be orchestrated toward solving a requirement set containing higher-order interactions
  • Keywords
    design engineering; 2-level factors; algorithm; optimal irregular fractional factorial designs; regular maximal subset designs; Automatic testing; Buildings; Computer errors; Engineering management; Intelligent manufacturing systems; Manufacturing industries; Manufacturing processes; Performance evaluation; Process design; Productivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technology Management : the New International Language
  • Conference_Location
    Portland, OR
  • Print_ISBN
    0-7803-0161-7
  • Type

    conf

  • DOI
    10.1109/PICMET.1991.183652
  • Filename
    183652