DocumentCode :
2865038
Title :
An evaluation method for application of condition-based maintenance technologies
Author :
Hess, Stephen M. ; Biter, William J. ; Hollingsworth, Stephen D.
Author_Institution :
Sensortex Inc., Kennett Square, PA, USA
fYear :
2001
fDate :
2001
Firstpage :
240
Lastpage :
245
Abstract :
In this paper we describe a new and efficient means of selecting appropriate condition based maintenance (CBM) technologies to manage equipment and system health cost effectively. The method accounts for both the technological capabilities and organizational factors to assess the expected costs and benefits of implementation. By analyzing both the expected benefits and costs, decisions as to the most cost effective application of CBM technologies (including combinations) can be made; thus ensuring scarce facility resources are directed where they will provide the most benefit. Because uncertainty for the cost and effectiveness estimates is considered, decision makers can make informed judgements of the business risk associated with each particular alternative and thus develop more robust decisions, Also, by developing both qualitative and quantitative estimates, the method supports effective monitoring of decisions to ensure desired outcomes are achieved
Keywords :
Monte Carlo methods; cost-benefit analysis; maintenance engineering; Monte Carlo simulation; business risk; condition-based maintenance; cost benefit analysis; equipment health management; expected costs assessment; maintenance costs; organizational factors; program management; return on investment; robust decisions; system health management; technological capabilities; technology assessment; Appropriate technology; Business; Cost benefit analysis; Cost function; Investments; Maintenance; Monitoring; Pharmaceutical technology; Technology management; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability and Maintainability Symposium, 2001. Proceedings. Annual
Conference_Location :
Philadelphia, PA
ISSN :
0149-144X
Print_ISBN :
0-7803-6615-8
Type :
conf
DOI :
10.1109/RAMS.2001.902474
Filename :
902474
Link To Document :
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