Standard deviations are minimized (typically up to 75%) - and can be adjusted faster if required.
Yield is increased (typically by 2-10%).
Throughput is significantly increased (typically by 1-5%) - at consistent product quality.
Energy consumption is significantly reduced (typically by 3-10%) - as well as the use of raw materials.
Manual intervention will become significantly less – which leads to a reduction in operator stress.
Transitions between different operating points are optimized, i.e. faster operating point changes and less non-production time.
Lifetime of the plant with the existing automation increases – with less maintenance work.
Process understanding is improved due to modeling and prediction.