The textbook "Stochastic Modeling of Manufacturing Systems" offers a comprehensive analysis of the challenges faced by the manufacturing industry due to unexpected events. These events, such as order changes, equipment failures, and product defects, can significantly impact the performance of manufacturing systems and complicate decision-making. This volume develops analytical methods aimed at minimizing the effects of such variability. The book includes fifteen innovative chapters primarily focused on the development and analysis of performance evaluation models for manufacturing systems. These models employ various approaches, including decomposition-based methods, Markov and queueing analyses, simulations, and inventory control strategies. The chapters are organized into four clear sections that reflect common perspectives on topics such as factory design, unreliable production lines, queue network models, and production planning and assembly.