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This dissertation examines an analytical methodology that considers predictive maintenance on industrial facilities equipment to exceed world class availability standards with greater understanding for organizational participation impacts. The research for

This dissertation examines an analytical methodology that considers predictive maintenance on industrial facilities equipment to exceed world class availability standards with greater understanding for organizational participation impacts. The research for this study was performed at one of the world's largest semiconductor facilities, with the intent of understanding one possible cause for a noticeable behavior in technical work routines. Semiconductor manufacturing disruption poses significant potential revenue loss on a scale easily quantified in millions of dollars per hour.

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    Date Created
    • 2012
    Resource Type
  • Text
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    Note
    • Partial requirement for: Ph. D., Arizona State University, 2012
      Note type
      thesis
    • Includes bibliographical references (p. 187-192)
      Note type
      bibliography
    • Field of study: Construction

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    by Douglas Kirk McDonald

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