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Predictive Equipment Failure Methodology With Sustainable Change


Abstract 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. These instances are commonly referred to as "Interruption to production" (ITP). ITP is a standardized metric used across Company ABC's worldwide f... (more)
Created Date 2012
Contributor Mcdonald, Doug (Author) / Sullivan, Kenneth (Advisor) / Badger, William (Committee member) / Verdini, William (Committee member) / Arizona State University (Publisher)
Subject Management / Operations research / Organizational behavior / Availability / Equipment / Facilities / Management / Operations / Organization
Type Doctoral Dissertation
Extent 203 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Ph.D. Construction 2012
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis