A typical schedule process is broken down into gathering the dynamic data; analyzing and generating the schedule; communicating the new schedule to the organization. 90% of the total cycle time is spent on the first step, gathering fresh data. It would not be unusual to spend days generating each new schedule. The integration of the models to the business system plus other data sources highly automate this step. The second step automates generating schedule even more. The result is now 90% of the effort can be focused on generating better schedules and preparing for potential future events. The result is faster reactions and better decisions.
Faster Reaction
