STATISTICAL PROCESS CONTROL FOR MAINTENANCE ACTIVITIES IN MANUFACTURING.

Kevin Dooley, M. I. Dessouky, R. E. DeVor, S. G. Kapoor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A statistical process control approach is used to monitor and improve the quality of maintenance activities in a manufacturing environment. The methodology employs statistical process control charts to evaluate the maintenance process variability and confidence intervals to evaluate conformance to a given standard for processes under statistical control. This approach is compared to the product control methods of acceptance sampling via analytical operating characteristic curves. The proposed methodology is shown to be sensitive in detecting process faults and capable of reducing inspection effort.

Original languageEnglish (US)
Title of host publicationAmerican Society of Mechanical Engineers, Production Engineering Division (Publication) PED
EditorsR.E. DeVor, S.G. Kapoor
Place of PublicationNew York, NY, USA
PublisherASME
Pages93-104
Number of pages12
Volume27
StatePublished - 1987
Externally publishedYes

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Mechanical Engineering

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  • Cite this

    Dooley, K., Dessouky, M. I., DeVor, R. E., & Kapoor, S. G. (1987). STATISTICAL PROCESS CONTROL FOR MAINTENANCE ACTIVITIES IN MANUFACTURING. In R. E. DeVor, & S. G. Kapoor (Eds.), American Society of Mechanical Engineers, Production Engineering Division (Publication) PED (Vol. 27, pp. 93-104). ASME.