Uncertainty analysis of an industrial system using Intuitionistic Fuzzy Set Theory

Yashi Vishwakarma () and S. P. Sharma ()
Additional contact information
Yashi Vishwakarma: Indian Institute of Technology Roorkee
S. P. Sharma: Indian Institute of Technology Roorkee

International Journal of System Assurance Engineering and Management, 2016, vol. 7, issue 1, No 8, 73-83

Abstract: Abstract In this paper, the uncertainty in the operational behavior of an industrial system has been analysed using Intuitionistic Fuzzy Set (IFS) Theory. The performance of systems depends on various reliability parameters such as system failure rate, mean time to repair (MTTR), mean time between failures (MTBF), expected number of failures (ENOF), system reliability and availability. Therefore it is necessary for plant personnel to have relevant information about these parameters. As primary data related to failure and repair time are extracted from literature/experiments/expert opinions it may contain some uncertainty and impreciseness. To deal with the impreciseness and explore the information about the system parameters, IFS theory has been incorporated here. In this study, the behavior analysis and reliability measures of TAB Manufacturing Plant are discussed by Vague Lambda-Tau (VLT) method which is based on IFS theory and lambda-tau technique. The objective of this study is to analyse and find more information about reliability indices and to show the importance of Vague Lambda-Tau method over Fuzzy Lambda-Tau method. For this purpose, all the system parameter-values are obtained by Fuzzy Lambda-Tau method and are compared with Vague Lambda-Tau method values. The uncertainty analysis, done here will help the decision analyst to achieve better system maintenance strategy for failure-free operation of the system.

Keywords: Availability; MTBF; MTTR; Vague Lambda-Tau methodology; Fuzzy Lambda-Tau method (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s13198-015-0384-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:7:y:2016:i:1:d:10.1007_s13198-015-0384-0

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-015-0384-0

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().