Table of Contents
International Journal of Quality, Statistics, and Reliability
Volume 2012, Article ID 203842, 14 pages
http://dx.doi.org/10.1155/2012/203842
Research Article

Fuzzy RAM Analysis of the Screening Unit in a Paper Industry by Utilizing Uncertain Data

Department of Mathematics, Indian Institute of Technology, Roorkee 247667, Uttarakhand, India

Received 18 July 2012; Accepted 6 October 2012

Academic Editor: Tadashi Dohi

Copyright © 2012 Harish Garg et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. Kumar, Analysis and optimization of systems availability in sugar, paper and fertilizer industries [Ph.D. thesis], University of Roorkee (Presently IIT Roorkee), Roorkee, India, 1991.
  2. C. Ebeling, An Introduction to Reliability and Maintainability Engineering, Tata McGraw-Hill, New York, NY, USA, 2001.
  3. H. Garg and S. P. Sharma, “RAM analysis of a coal crushing unit of a thermal power plant using fuzzy Lambda-Tau Methodology,” in Proceedings of the 1st International Conference on Emerging Trends in Mechanical Engineering (ICETME '11), pp. 795–802, Thapar University, Patiala, India.
  4. H. Garg and S. P. Sharma, “A two-phase approach for reliability and maintainability analysis of an industrial system,” International Journal of Reliability, Quality and Safety Engineering, vol. 19, no. 3, 2012. View at Publisher · View at Google Scholar
  5. A. Adamyan and D. He, “Analysis of sequential failures for assessment of reliability and safety of manufacturing systems,” Reliability Engineering and System Safety, vol. 76, no. 3, pp. 227–236, 2002. View at Publisher · View at Google Scholar · View at Scopus
  6. A. Adamyan and D. He, “System failure analysis through counters of Petri net models,” Quality and Reliability Engineering International, vol. 20, no. 4, pp. 317–335, 2004. View at Publisher · View at Google Scholar · View at Scopus
  7. H. Garg, “Reliability analysis of repairable systems using Petri nets and Vague Lambda-Tau methodology,” ISA Transactions, http://dx.doi.org/10.1016/j.isatra.2012.06.009 . In press.
  8. P. S. Rajpal, K. S. Shishodia, and G. S. Sekhon, “An artificial neural network for modeling reliability, availability and maintainability of a repairable system,” Reliability Engineering and System Safety, vol. 91, no. 7, pp. 809–819, 2006. View at Publisher · View at Google Scholar · View at Scopus
  9. Komal, S. P. Sharma, and D. Kumar, “RAM analysis of repairable industrial systems utilizing uncertain data,” Applied Soft Computing Journal, vol. 10, no. 4, pp. 1208–1221, 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. M. Rani, S. P. Sharma, and H. Garg, “Reliability analysis of press unit in paper plant using weibull fuzzy distribution function,” in Proceedings of the 16th Online World Conference on Soft computing in Industrial Application (WSC '11), December 2011, http://wsc16.cs.lboro.ac.uk/conference/sites/default/files/Paper_0.pdf.
  11. J. Knezevic and E. R. Odoom, “Reliability modelling of repairable systems using Petri nets and fuzzy Lambda-Tau methodology,” Reliability Engineering and System Safety, vol. 73, no. 1, pp. 1–17, 2001. View at Publisher · View at Google Scholar · View at Scopus
  12. S. P. Sharma and H. Garg, “Behavioural analysis of urea decomposition system in a fertiliser plant,” International Journal of Industrial and Systems Engineering, vol. 8, no. 3, pp. 271–297, 2011. View at Publisher · View at Google Scholar · View at Scopus
  13. H. Garg and S. P. Sharma, “Behavior analysis of synthesis unit in fertilizer plant,” International Journal of Quality and Reliability Management, vol. 29, no. 2, pp. 217–232, 2012. View at Publisher · View at Google Scholar · View at Scopus
  14. D. L. Mon and C. H. Cheng, “Fuzzy system reliability analysis for components with different membership functions,” Fuzzy Sets and Systems, vol. 64, no. 2, pp. 145–157, 1994. View at Google Scholar · View at Scopus
  15. H. Garg and S. P. Sharma, “Stochastic behavior analysis of complex repairable industrial systems utilizing uncertain data,” ISA Transactions, vol. 51, no. 6, pp. 752–762, 2012. View at Publisher · View at Google Scholar · View at Scopus
  16. S. M. Chen, “Fuzzy system reliability analysis using fuzzy number arithmetic operations,” Fuzzy Sets and Systems, vol. 64, no. 1, pp. 31–38, 1994. View at Google Scholar · View at Scopus
  17. H. Garg, S. P. Sharma, and M. Rani, “Behavior analysis of pulping unit in a paper mill with weibull fuzzy distribution function using ABCBLT technique,” International Journal of Applied Mathematics and Mechanics, vol. 8, no. 4, pp. 86–96, 2012. View at Google Scholar
  18. D. Karaboga, “An idea based on honey bee swarm for numerical optimization,” Tech. Rep. TR06, Computer Engineering Department, Engineering Faculty, Erciyes University, 2005. View at Google Scholar
  19. D. Karaboga and B. Basturk, “A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm,” Journal of Global Optimization, vol. 39, no. 3, pp. 459–471, 2007. View at Publisher · View at Google Scholar · View at Scopus
  20. D. Karaboga and B. Basturk, “On the performance of artificial bee colony (ABC) algorithm,” Applied Soft Computing Journal, vol. 8, no. 1, pp. 687–697, 2008. View at Publisher · View at Google Scholar · View at Scopus
  21. L. A. Zadeh, “Fuzzy sets,” Information and Control, vol. 8, no. 3, pp. 338–353, 1965. View at Google Scholar · View at Scopus
  22. W. Pedrycz, “Why triangular membership functions?” Fuzzy Sets and Systems, vol. 64, no. 1, pp. 21–30, 1994. View at Google Scholar · View at Scopus
  23. X. Bai and S. Asgarpoor, “Fuzzy-based approaches to substation reliability evaluation,” Electric Power Systems Research, vol. 69, no. 2-3, pp. 197–204, 2004. View at Publisher · View at Google Scholar · View at Scopus
  24. D. Karaboga and B. Akay, “A comparative study of Artificial Bee Colony algorithm,” Applied Mathematics and Computation, vol. 214, no. 1, pp. 108–132, 2009. View at Publisher · View at Google Scholar · View at Scopus
  25. T. J. Ross, Fuzzy Logic with Engineering Applications, John Wiley & Sons, New York, NY, USA, 2nd edition, 2004.