Improving computer manufacturing management through lean six sigma and PHM

Gang Niu; Daniel Lau; Michael Pecht

doi:10.1109/PHM.2010.5413497

Improving computer manufacturing management through lean six sigma and PHM

Gang Niu^*
, Daniel Lau
, Michael Pecht

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

6 Citations (Scopus)

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. © 2010 IEEE.

Original language	English
Title of host publication	2010 Prognostics and System Health Management Conference, PHM '10
DOIs	https://doi.org/10.1109/PHM.2010.5413497
Publication status	Published - 2010
Event	2010 Prognostics and System Health Management Conference, PHM '10 - Macau, China Duration: 12 Jan 2010 → 14 Jan 2010

Conference

Conference	2010 Prognostics and System Health Management Conference, PHM '10
Place	China
City	Macau
Period	12/01/10 → 14/01/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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title = "Improving computer manufacturing management through lean six sigma and PHM",

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. {\textcopyright} 2010 IEEE.",

author = "Gang Niu and Daniel Lau and Michael Pecht",

year = "2010",

doi = "10.1109/PHM.2010.5413497",

language = "English",

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AU - Lau, Daniel

AU - Pecht, Michael

PY - 2010

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AB - 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. © 2010 IEEE.

UR - https://www.scopus.com/pages/publications/77950683699

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-77950683699&origin=recordpage

U2 - 10.1109/PHM.2010.5413497

DO - 10.1109/PHM.2010.5413497

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781424447565

BT - 2010 Prognostics and System Health Management Conference, PHM '10

T2 - 2010 Prognostics and System Health Management Conference, PHM '10

Y2 - 12 January 2010 through 14 January 2010

ER -

Improving computer manufacturing management through lean six sigma and PHM

Abstract

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