4 Reasons for Smart Porduction Scheduling with AI compared to any other Algorithms
Based on average benchmarks
Important key measures like capacity usage, output and delivery on time are integrated in our self-optimizing scheduling process. Additionally we benchmark the performances against standard mechanisms.
With continous updates on the material availability the production schedule use these prerequisites for self-optimization. With this mechanism your production scheduling responses more flexible to changes and will be more resilient against unknown events.
Because of unknown events, machines or any other resources have waiting time. These waiting times are considered automatically by our self-optimizing scheduling mechanism and will reduce this waste permanently.
All resources (machines and machine groups, employees and shifts) are covered in the self optimizing production scheduling in order to maximize the capacity usage.
With using different mechanisms of self-optimizing scheduling you can put this operational goal as priority and the algorithms align all operations to achieve the maximium percentage of delivery on time.
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