Using the previous dataset at <https://zenodo.org/record/4106746> a maintenance optimization scenario was formulated to validate the scheduler's ability to schedule tasks as well as maintenance activities while also minimizing the total costs. Accordingly, it was considered an optimization weight of 1 for the total cost and 0 for machine occupancy deviation, as well as a 2-hour execution time for the genetic algorithm. Each maintenance activity, for every machine, has a duration of 6 hours and 10 minutes, with a labor cost of 3,22 EUR/hour during the stipulated maintenance hours and a monetary penalty, that doubles the cost (i.e., 6.44 EUR/hour) if done out of maintenance hours. File Description: Input_JSON_Maintenance_Optimization - JSON input data for the maintenance optimization Output_JSON_Maintenance_Optimization - JSON output data for the maintenance optimization Output_Statistics_Maintenance_Optimization - Excel output maintenance optimization statistics