Markov Model for Analyzing Sensitivity to Change in Machine Repair Reliability Using Its Transition Probability Diagram

Abstract: Our main goal is to model the efficiency of a redundant machining system made up of a lot of machines and analyze how reliable the system is. Combining the ideas of switching failure and geometric reneging makes it possible to look at the possible outcomes in a more nuanced way. It is assumed that both the time it takes for a machine to break down and the time it takes to fix it follow an exponential distribution. A lot of performance indicators have been made so that a quantitative analysis of the machine interference problem can be done. Mean time to failure, dependability, and the rate of giving up are all examples of such efficiency measures. The evaluation of reliability indices has been shown. This shows how the values of these indices change when different system parameters are changed. This was done so that could be confirmed and a good explanation could be given