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  1. International Journal of System Assurance Engineering and Management
  2. International Journal of System Assurance Engineering and Management : Volume 7
  3. International Journal of System Assurance Engineering and Management : Volume 7, Issue 1, March 2016
  4. Uncertainty analysis of an industrial system using Intuitionistic Fuzzy Set Theory
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International Journal of System Assurance Engineering and Management : Volume 8
International Journal of System Assurance Engineering and Management : Volume 7
International Journal of System Assurance Engineering and Management : Volume 7, Issue 4, December 2016
International Journal of System Assurance Engineering and Management : Volume 7, Issue 1, Supplement,December 2016
International Journal of System Assurance Engineering and Management : Volume 7, Issue 3, September 2016
International Journal of System Assurance Engineering and Management : Volume 7, Issue 2, June 2016
International Journal of System Assurance Engineering and Management : Volume 7, Issue 1, March 2016
An approach to design test oracle for aspect oriented software systems using soft computing approach
Performance assessment of I&C cable insulation materials by DSC and SEM for NPP ageing management
Reliability evaluation of a multi-state system based on interval-valued triangular fuzzy Bayesian networks
An intelligent technique for condition based self-maintenance of aluminum electrolytic capacitors
Determinants of bank profits and its persistence in Indian Banks: a study in a dynamic panel data framework
Maintenance cost minimization of manufacturing systems using PSO under reliability constraint
An improved inventory model with random review period and temporary price discount for deteriorating items
Uncertainty analysis of an industrial system using Intuitionistic Fuzzy Set Theory
Dynamic spare parts transportation model for Arctic production facility
An expert-based approach to production performance analysis of oil and gas facilities considering time-independent Arctic operating conditions
Analytical investigation of parameters effect on lightning-induced overvoltages on overhead lines
International Journal of System Assurance Engineering and Management : Volume 6
International Journal of System Assurance Engineering and Management : Volume 5
International Journal of System Assurance Engineering and Management : Volume 4
International Journal of System Assurance Engineering and Management : Volume 3
International Journal of System Assurance Engineering and Management : Volume 2
International Journal of System Assurance Engineering and Management : Volume 1

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Uncertainty analysis of an industrial system using Intuitionistic Fuzzy Set Theory

Content Provider Springer Nature Link
Author Vishwakarma, Yashi Sharma, S. P.
Copyright Year 2015
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.
Starting Page 73
Ending Page 83
Page Count 11
File Format PDF
ISSN 09756809
Journal International Journal of System Assurance Engineering and Management
Volume Number 7
Issue Number 1
e-ISSN 09764348
Language English
Publisher Springer India
Publisher Date 2015-10-16
Publisher Place New Delhi
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Availability MTBF MTTR Vague Lambda-Tau methodology Fuzzy Lambda-Tau method Quality Control, Reliability, Safety and Risk Engineering Economics, Organization, Logistics, Marketing
Content Type Text
Resource Type Article
Subject Strategy and Management Safety, Risk, Reliability and Quality
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