• DocumentCode
    2420167
  • Title

    An adaptive approach to failure modes and effects analysis for Computer-Aided Inspection Planning

  • Author

    Mirdamadi, S. ; Siadat, A. ; Dantan, J.Y. ; Roucoules, L.

  • Author_Institution
    Arts et Metiers ParisTech, Metz, France
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    2179
  • Lastpage
    2183
  • Abstract
    In robust design, the principle is to improve product quality minimizing the impacts of variations. Variability depends strongly on the set of explicit and implicit decisions taken during product design, selection of methods, processes and resources. This paper presents a new approach to decision making for inspection planning. The proposed approach requirements are then emphasized. As well the necessity of quality management tools integration in decision making is concluded. Literature review highlights that each already existent quality tools satisfies partially these requirements. Among these latter FMEA is considered to be flexible and apt enough to be adapted to CAIP. Despite, improving points to FMEA are discussed and required modifications and future works are then proposed.
  • Keywords
    decision making; failure analysis; inspection; product design; product quality; production engineering computing; CAIP; FMEA; computer-aided inspection planning; decision making; explicit decision; failure mode-and-effect analysis; implicit decision; method selection; process selection; product quality improvement; quality management tool integration; resource selection; robust product design; variation impact minimization; Decision making; Inspection; Monitoring; Planning; Process control; Product design; Uncertainty; Computer-Aided Inspection Planning (CAIP); Decision making; FMEA; Key characteristic (KC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/IEEM.2012.6838133
  • Filename
    6838133