In today's data-driven world, tape storage systems continue to play a crucial role in long-term data retention for various industries, such as scientific research, and archival repositories, particularly at National Laboratories like Fermilab. Optimizing the performance of these tape storage systems is of paramount importance to ensure efficient data access and retrieval, given the massive volumes of data involved. In this study, we present a comprehensive approach to simulating tape storage systems and leveraging this simulation framework to compute performance analytics. The proposed simulation framework is designed to accurately model the behavior of modern tape storage systems, including various components such as tape drives, libraries, and media. By capturing the intricacies of the system's architecture and operational characteristics, the simulation enables us to emulate real-world scenarios and assess the system's performance under different workloads and configurations. Through extensive performance analysis, we identify key factors influencing system performance, such as data compression, and tape utilization patterns.