Uses digital twin method for factory modeling, then uses the simulation engine for scheduling. This works in conjunction with an AI module to optimize the scheduling result. This also works with RPA to automate the production controller decision flow, to meet the Industry 4.0 requirement that factories possess automatic decision making abilities.1. Break through the problem of preliminary planning of production capacity and materials in the schedule, and use the production capacity material synchronization planning engine to achieve material capacity synchronization planning
2.Break through the schedule time limit of several hours at a time, effectively reduce the schedule time by simulation
3.Modular development method effectively increases the versatility of the scheduling system industry1.Shorten the time between orders received and delivery
2.Lower inventory costs and increase turnover
3.Realize and take advantage of factory max production capability
4.Management of smart dashboards on production floor
5.Monitoring and analysis of manufacturing status and performance