 Application of Fuzzy Sets in Reliability and in Optimal Condition Monitoring Technique Selection in Equipment MaintenanceRajesh S. Prabhu Gaonkar ()
A chapter in Advances in RAMS Engineering, 2020, pp 327-359 from Springer Abstract: Abstract In order to improve the design of a system, we need to identify the least reliable component of the system. Unexpected failure of any component of the system may increase the maintenance and down time cost due to unavailability of the system. Though this is easy in simpler systems, it becomes a difficult task as the complexity of the system increases. A methodology using mathematical modelling facility of fuzzy set theory is presented here, which is effective in situations wherein the data available is mostly subjective and it is difficult to get precise quantitative data. After covering basic concepts of various uncertainty modelling theories and fuzzy sets, its application to reliability and fault tree is presented. In the second part of the chapter, multi-attribute decision making methods with application to ranking and optimal condition monitoring technique selection from maintenance engineering domain is presented. These include fuzzy set based Analytic Hierarchy Process (AHP), rating and ranking method, ranking by maximizing and minimizing sets, raking by cardinal utilities and suitability set method. Date: 2020 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-030-36518-9_13 Ordering information: This item can be ordered from DOI: 10.1007/978-3-030-36518-9_13 Access Statistics for this chapter More chapters in Springer Series in Reliability Engineering from Springer |
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