Production scheduling can be a complex and time-consuming task, especially for finite capacity production systems with multiple variables, uncertainties, and trade-offs. Fortunately, software tools are available to automate and optimize the process. These tools can collect and integrate data from different sources, such as ERP, MES, CRM, and IoT devices, to provide real-time visibility and accuracy of a system's status and performance. Advanced algorithms like heuristics, metaheuristics, or artificial intelligence can generate feasible and optimal production schedules based on the system's parameters, objectives, and constraints. It is also possible to simulate and compare different scenarios and alternatives to evaluate the impact of changes and disruptions on the production schedule. Additionally, these tools can communicate and coordinate the production schedule with stakeholders such as suppliers, customers, managers, and workers. Finally, they can monitor and control the production schedule execution while tracking key performance indicators like throughput, utilization, efficiency, and quality. Utilizing software tools can help save time, reduce errors, improve productivity, and enhance decision-making in production scheduling.