DocumentCode
2426336
Title
Decision-making guidelines for the use of experience and generic data
Author
Collins, Erin P. ; Dougherty, Ed ; Fragola, Joseph R.
Author_Institution
Sci. Applications Int. Corp., New York, NY, USA
fYear
1998
fDate
19-22 Jan 1998
Firstpage
292
Lastpage
301
Abstract
Operating experience, as captured in maintenance and repair records of a facility, provides a directly applicable source of equipment reliability data for reliability and risk analysis quantification. However, this experience may not have sufficient breadth or depth to meet the data needs of die analysis. Therefore, even the best direct experience-based data set should be complemented by generic information, if only to provide a comparison with similar equipment experience in other settings, environments or industries. Generic data use involves some cure in matching die generic component types and applications to the facility equipment types and environments, particularly if the facility in question is rather unique. The bottom line, however, is that most often a combination of plant-specific and generic data are required to fulfil a risk and reliability study parametric needs. While judgment cannot be removed altogether from the process of deciding which data is most appropriate to use, based on experience there are factors to consider which can be structured into a set of guidelines. This paper therefore provides such guidance for the comparison between generic and facility-specific data and for the selection of which data or combination best meets the study data needs
Keywords
decision theory; maintenance engineering; reliability; risk management; Bayesian update; confidence; data comparison; decision-making guidelines; die analysis; die generic component types applications; die generic component types matching; equipment reliability data; experience data; facility environments; facility equipment types; generic data; generic information; maintenance records; reliability analysis; repair records; risk analysis quantification; tolerance; Bayesian methods; Data engineering; Decision making; Guidelines; History; Information analysis; Maintenance; Reliability engineering; Risk analysis; Taxonomy;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability and Maintainability Symposium, 1998. Proceedings., Annual
Conference_Location
Anaheim, CA
ISSN
0149-144X
Print_ISBN
0-7803-4362-X
Type
conf
DOI
10.1109/RAMS.1998.653795
Filename
653795
Link To Document