Gang Niu and Daniel Lau
Center for Prognostics and System Health Management
City University of Hong Kong
83 Tat Chee Avenue
Kowloon, Hong Kong
Center for Advanced Life Cycle Engineering (CALCE)
University of Maryland
College Park, MD 20742, U.S.A.
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 technological approach. Through integration with Lean Six Sigma, a raised computer manufacturing management performance can be achieved.
Keywords: Computer manufacturing, lean six sigma, prognostics health management.
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This article was originally published in the International Journal of Performability Engineering (IJPE) (www.ijpe-online.com)