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Original Date: 11/03/1996
Revision Date: 01/18/2007
Information : Upgrading Repair History Programs
The Oak Ridge Y-12 Plant Site Management Service Department has developed a methodology to provide data through statistical analysis to reveal trends and recurring problems for improving maintenance effectiveness, cost, and reliability.
The Oak Ridge Y-12 plant has a unique and complex maintenance and repair challenge with over 100,000 significant structures, systems, and components distributed over six million square feet of floor space located in more than 500 buildings. None of the existing repair history data is keyed to all the full feature complexities of the structures, systems, and components. Data is collected that reflects the complexity of the structures, systems, and components, provides a logical and efficient method to collect the data, allows the craftpersons to collect the data, and enables statistical analysis of the data to perform fault analysis.
A simple-to-use Repair History Form has been created and distributed to capture the data. The history form collects Logical Methods and Key Word Types. Data includes identifying a failed component, condition of the component, action taken, cause of failure, failure impact, and the "as-left" condition. Each data set provides multiple choices that are selected by the technical data entry personnel for each structure, system, and component (SSC). The upgrade is integrated with the already existing Maintenance Management System.
The maintenance history program is continuing to be refined. One recent refinement involves developing more consistent methods for the identification and labeling of plant equipment. This will enable more accurate, consistent, and detailed history data to be collected. Another refinement involves the maintenance history program with the Reliability Centered Maintenance (RCM) software analysis. The software is a Preventive Maintenance (PM) Optimization software that will enable the PM program through RCM analysis to become more accurately focused on eliminating equipment reliability problems. RCM analysis is gradually being performed on some of the most significant and unreliable systems in the plant.
For more information see the
Point of Contact for this survey.
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