Production Schedule Optimization uses AI to build feasible, efficient production schedules, enabling higher adherence, by optimizing across orders, capacity, changeovers, and constraints, across MES, APS, and production planning.
Production schedules must satisfy orders, line capacity, changeover rules, labour, and material constraints that change shift to shift. Manually built schedules go stale on contact with disruption, so lines run unbalanced and changeovers pile up.
The AI runs optimization over orders, line capacity, changeover rules, labour availability, and material constraints, producing schedules that meet due dates while minimising changeover and idle time.
Raises the schedule adherence rate and reduces changeover hours and overtime per period.
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