Configurational Modeling and Stochastic Analysis of a Complex Reparable Industrial System Model

The present paper deals with the configurational modeling and stochastic analysis of a complex reparable system model based on cold-drink making system. The considered system consists of a number of sub-systems of varying nature. The stochastic analysis of the considered system model is carried out by using regenerative point technique under the assumption that all failure rates are constant and repair rates are general. In the present system model, the concept of common cause failure is also incorporated. The expressions for several systems characteristics such as reliability, MTSF, steady state availability, busy period and expected profit have been obtained. MTSF and profit function have also been widely studied through graphs taking repair time distributions as exponential.