This research utilized discrete-event simulation to improve workforce productivity at a leading shoe manufacturing firm in Pakistan. The study targeted the lasting department, encompassing nineteen vital processes required to achieve the final shoe shape. A comprehensive analysis of all the operations was conducted, and reliable data on cycle times were gathered. Statistical analysis was performed to determine the suggested distribution of all the processes. A network model of the current system was formulated, revealing low workforce productivity and process flow inconsistencies. Three plans were proposed based on the simulation to address these issues, which proved more productive and efficient than the existing system, with no significant investment required. The T-test illustrated substantial differences between the productivity of the current and proposed plans. After careful evaluation, the most promising plan was selected and is now poised for implementation.