Stochastic behaviour and performance analysis of an industrial system using GABLT technique
by Komal, S.P. Sharma, Dinesh Kumar
International Journal of Industrial and Systems Engineering (IJISE), Vol. 6, No. 1, 2010

Abstract: Stochastic behaviour of an industrial system will help to analyse the system's performance and to carry out design modifications to achieve the desired industrial goals. In the present study, genetic algorithms based Lambda-Tau, a hybridised technique is used to analyse the system's behaviour up to a desired degree of accuracy utilising imprecise data. Six reliability indices, namely, failure rate, repair time, mean time between failures, expected number of failures, availability and reliability of the system are used for system's behaviour analysis. A composite measure of these reliability indices as a performance index has been introduced in this paper to predict the system's performance at different preferences. The washing unit of a medium size paper mill has been considered to demonstrate the approach. The observed results show reduced uncertainty from traditional analysis and will be very helpful for plant personnel to improve the system's performance by adopting suitable maintenance strategies.

Online publication date: Tue, 06-Jul-2010

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