Availability analysis of Tube Light Manufacturing industry using numerical technique

Abstract

Continuous improvement in the performance of any industrial system is highly desirable. But failure is an inevitable phenomenon. In order to run industrial systems without failure reliability and availability of each subsystem needs to be maintained. So the maintenance of the working units of the system plays a very important role to make system available for a pre define period of time. The system performance can be increased to the maximum extent by adopting the suitable maintenance strategy. In this paper a computational technique is used for the analysis of Time Dependant System Availability (TDSA) of Tube Light manufacturing system has been addressed.. This system comprises of seven subsystems namely End Sealing cum Coating Machine, Baker Machine, Wiper Machine, Sealing Machine and Exhaust Machine, Capping Machine and Activator machine. Mathematical formulation of the system is done using Markov Approach (MA). The model has been solved TDSA with the help of Adaptive step size control Runge-Kutta Method. After carrying out the TDSA analysis it is found that subsystem- II i.e Baker machine is critical subsystem having more effect on TDSA of the system on basis of repair rate on as compared to other subsystems. Further, present research is also helpful in deciding maintenance repair priorities of different subsystems.