• DocumentCode
    2311998
  • Title

    Dependable Mechatronic Products: Closing the Intelligence Gap

  • Author

    Wolf, Nico ; Aurich, Jan C.

  • Author_Institution
    Inst. for Manuf. Eng. & Production Manage. - FBK, Kaiserslautern Univ., Kaiserslautern
  • fYear
    2008
  • fDate
    14-17 July 2008
  • Firstpage
    209
  • Lastpage
    210
  • Abstract
    Dependability is a decisive characteristic of any commercialized product. As a quality feature product dependability is a consequence of numerous activities within the underlying product development process. To assure a decent level of product dependability quality management systems provide a serious number of quality measures supporting many quality related activities. Still, no matter how many of these quality measures are applied, practice shows that especially complex products reveal drawbacks concerning the intended level of dependability. This paper in brief depicts an approach for improving the dependability of mechatronic products by applying fundamental remedies to the underlying product development process derived from specific defect type patterns. The approach thereby relies on an innovative defect classification and pattern recognition scheme for mechatronics.
  • Keywords
    mechatronics; pattern recognition; product development; quality management; dependable mechatronic products; innovative defect classification; intelligence gap; pattern recognition; product dependability quality management systems; product development process; quality feature product dependability; Commercialization; Manufacturing; Mechatronics; Pattern recognition; Product development; Production management; Qualifications; Quality management; Reliability engineering; Software engineering; Corrective Action System; Dependability; Mechatronics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Secure System Integration and Reliability Improvement, 2008. SSIRI '08. Second International Conference on
  • Conference_Location
    Yokohama
  • Print_ISBN
    978-0-7695-3266-0
  • Electronic_ISBN
    978-0-7695-3266-0
  • Type

    conf

  • DOI
    10.1109/SSIRI.2008.10
  • Filename
    4579828