• 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.

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