Reliability analysis has an essential role in evaluating the safety and longevity of structures, particularly in critical infrastructure like prestressed concrete bridges. This paper presents a study on the application of Monte Carlo simulation to evaluate the reliability of prestressed concrete bridge girders at the serviceability limit state (SLS). By modeling the inherent uncertainties in material properties and loading conditions, the study estimates the probability of failure and calculates the corresponding reliability index, which provides a quantitative measure of the structure's safety margin. The findings highlight the effectiveness of Monte Carlo simulation in structural reliability assessments and underscore the importance of incorporating variability in design considerations. The study contributes to the ongoing discourse on reliability-based design in structural engineering, suggesting that further optimization of the prestressed concrete girder could enhance its performance under serviceability constraints.