Reliability Distribution of an Industrial Process

ABSTARCT: Most prominent approach used by researchers to study the behavior of the process industry systems, is through stochastic process. However it has been found that implications of stochastic process for system performance were based on exponential distribution and further behavior analysis of process industry is carried on the basis of steady state availability analysis and reliability analysis. In this paper, we formulate a stochastic model of an industrial process with an exponential distribution in order to check whether the results obtained actually exponential in nature. Results thus obtained for reliability of the process industry were analyzed for distribution fit using Minitab Software. It was found that gamma distribution fits best instead of exponential to the resulting performance data of industrial process reliability. Besides these we also checked fitting of other distributions including Normal and Weibull distribution for industrial process reliability.