The main objective of the current investigation is to enhance the performance of pulping systems (PS) in paper manufacturing plants (PMP). The pulping system is a complex structure consisting of digester, decker, knotter, and opener in series configuration. To achieve the objective, a stochastic model is proposed and analyzed using Markovian approach. The concepts of exponentially distributed random variables, perfect repairs and switch devices incorporated in the development of stochastic models. In addition, by simple reliability arguments other system effectiveness measures also derived for PS as well as each subsystem. Reliability, availability, and maintainability are assessed at different points to predict system performance and repair efficiency. The steady-state behavior of PS is observed numerically and the impact of variation in random variables are explored in steady-state. From numerical results, it is revealed that the opener subsystem is highly sensitive in terms of reliability. The results derived can be utilized by PMP engineers and maintenance team to develop maintenance strategies.