Back to Search
Start Over
Fuzzy reliability analysis of a pulping system in paper industry with general distributions for all random variables
- Source :
- Cogent Mathematics, Vol 4, Iss 1 (2017)
- Publication Year :
- 2017
- Publisher :
- Informa UK Limited, 2017.
-
Abstract
- This paper discussed the fuzzy reliability of pulping system in paper industry. Pulping system consists of four subsystems such as Digester, Knotter, Deckers, and Openers. These subsystems are working in series. In subsystems Knotter and Openers, one unit is operative and another unit is kept as cold standby. Fuzzy failure rates and fuzzy repair rates of the subsystems are taken as general. Trapezoidal fuzzy numbers are used to find out the reliability of the pulping system. Using Mehar’s method, the numerical results for reliability are obtained by considering exponential, Rayleigh, and Weibull distributions. On the basis of the results obtained in this study, it is suggested that paper industry management should involve Weibull distributed random variables for pulping system to attain higher reliability.
- Subjects :
- trapezoidal fuzzy numbers
0209 industrial biotechnology
Series (mathematics)
Basis (linear algebra)
lcsh:Mathematics
02 engineering and technology
lcsh:QA1-939
Pulp and paper industry
general distributions
Fuzzy logic
Exponential function
fuzzy reliability
paper industry
020901 industrial engineering & automation
General Energy
0202 electrical engineering, electronic engineering, information engineering
Fuzzy number
020201 artificial intelligence & image processing
Random variable
Reliability (statistics)
Mathematics
Weibull distribution
Subjects
Details
- ISSN :
- 23311835
- Volume :
- 4
- Database :
- OpenAIRE
- Journal :
- Cogent Mathematics
- Accession number :
- edsair.doi.dedup.....da972145ec2b4334a64280e12e4ff758