• DocumentCode
    2521675
  • Title

    Fuzzy Testing and Selecting the Better Manufacturing Process Using Loss-Based Capability Index

  • Author

    Hsu, B.M. ; Shu, M.H.

  • Author_Institution
    Dept. of Ind. Eng. & Manage., Cheng-Shiu Univ, Kaohsiung
  • Volume
    2
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 1 2006
  • Firstpage
    204
  • Lastpage
    208
  • Abstract
    The loss-based process capability index Cpm sometimes called the Taguchi index. In practice, Taghchi index is estimated using sample data, thus it is of interest to obtain confidence limits of estimate Cpm far assessing processes. Most of the traditional methods for measuring the manufacturing process capability are based on crisp estimates of Cpm wherein the output process measurements are precise. In the present study, we investigate the more realistic in general that the output of data from measurement of the quality of a product Is insufficiently precise. The fuzzy hypothesis testing on the fuzzy estimator of Cpm for finding process performance is proposed. We also considered the real-world problems in selecting the better manufacturing/supplier process from several available manufacturing/supplier processes
  • Keywords
    fuzzy set theory; manufacturing processes; process capability analysis; quality control; statistical process control; statistical testing; Taguchi index; crisp estimates; fuzzy testing; loss-based capability index; manufacturing process; output process measurement; supplier process; Engineering management; Fuzzy control; Fuzzy set theory; Fuzzy systems; Gaussian distribution; Industrial engineering; Manufacturing processes; Statistical analysis; Statistics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2616-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2006.288
  • Filename
    1691963