Evaluation of AI algorithms for operational processes and demand forecasting

Evaluating the performance, quality, and accuracy of advanced algorithms for industrial operational processes

Evaluation of the performance, quality, or accuracy of results offered by different advanced algorithms for specific applications in industrial operational processes (demand forecasting, inventories and replenishment, planning and scheduling) using:

  • synthetic data generated by digital twins based on process data under study.
  • previously curated data from the customer’s operating processes. In these cases and initial evaluation of the data and process characteristics through advanced data processing and analysis (using ML techniques, among others) will be done.
  • Generalized data sets.

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