Performance analysis of repairable system using GA and fuzzy Lambda-Tau methodology
International Journal of Quality & Reliability Management
ISSN: 0265-671X
Article publication date: 7 October 2013
Abstract
Purpose
The purpose of this paper is to develop a new approach for computing various performance measures such as reliability, availability, MTBF, ENOF, etc. for any industrial system.
Design/methodology/approach
Pulping system, the main functionary part of paper industry, is the subject of the study. The interactions among the working components are shown using Petri nets (PNs). Failure and repair rates are represented using triangular fuzzy numbers (TFNs), as they allow expert opinion, linguistic variables, operating conditions, uncertainty and imprecision in reliability information, to be incorporated into system model. The failure rates and repair times of all constituent components are obtained using genetic algorithms (GAs) and then various performance measures are computed using fuzzy Lambda-Tau methodology (FLTM).
Findings
The proposed methodology provides a better understanding about the behavior of any repairable system through its graphical representation.
Originality/value
A new approach has been given to compute various performance measures and based on calculated reliability parameters, a structured framework has been developed that may help the maintenance engineers to analyze and predict the system behavior.
Keywords
Acknowledgements
The authors would like to thank the referees for a careful reading of the manuscript and for several suggestions, which led to substantial improvements in this paper.
Citation
Kumar, A., Sharma, S.P. and Kumar, D. (2013), "Performance analysis of repairable system using GA and fuzzy Lambda-Tau methodology", International Journal of Quality & Reliability Management, Vol. 30 No. 9, pp. 1017-1032. https://doi.org/10.1108/IJQRM-06-2013-0104
Publisher
:Emerald Group Publishing Limited
Copyright © 2013, Emerald Group Publishing Limited