• DocumentCode
    3475715
  • Title

    Improving computer manufacturing management through Lean Six Sigma and PHM

  • Author

    Niu, Gang ; Lau, Daniel ; Pecht, Michael

  • Author_Institution
    Center for Prognostics & Syst. Health Manage., City Univ. of Hong Kong, Kowloon, China
  • fYear
    2010
  • fDate
    12-14 Jan. 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Computer manufacturers have been applying six sigma for continuous quality improvement and lean manufacturing for reducing process waste in order to maximally meet customer requirements. However, top computer manufacturers are now realizing the design and production with advanced capability for early failure detection, fault diagnostic and prediction will significantly improve product life cycle performance and increase competitive advantages. In this paper, prognostic health management is proposed as a ¿predictive¿ management strategy centered by technology approach. Through integration with lean six sigma, a raised computer manufacturing management performance can be achieved.
  • Keywords
    DP industry; condition monitoring; continuous production; fault diagnosis; lean production; product life cycle management; six sigma (quality); computer manufacturing management; continuous quality improvement; failure detection; fault diagnostic; fault prediction; lean manufacturing; lean six sigma; predictive management strategy; process waste reduction; product life cycle performance; prognostic health management; Computer aided manufacturing; Engineering management; Lean production; Manufacturing industries; Manufacturing processes; Production management; Prognostics and health management; Quality management; Six sigma; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and Health Management Conference, 2010. PHM '10.
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-4244-4756-5
  • Electronic_ISBN
    978-1-4244-4758-9
  • Type

    conf

  • DOI
    10.1109/PHM.2010.5413497
  • Filename
    5413497