ESI OPUS

It automatically calculates production times and costs by integrating CAD/PDM data with the MES history.
For each new order, it generates a timed production cycle and can automatically schedule it on available machines, ensuring accurate planning and decisions based on objective information..

Features

APPLIED ARTIFICIAL INTELLIGENCE

It analyses manufacturing processes, treatments and CAD/PDM data, and correlates them with historical production performance, creating a predictive model tailored to the company’s specific production context.

CAD/PDM & MES DATA INTEGRATION

Use geometries, technical metadata and historical data to estimate actual processing times and costs.

AUTOMATIC GENERATION OF WORK CYCLES

For each new order, Esi OPUS generates time-based cycles and allows the operator to validate them, thereby reducing variability and errors.

SPECIFIC PREDICTIVE MODEL

The AI engine learns from order history, continuously optimizing estimates and processes to reduce lead times and costs.

FINITE-CAPACITY SCHEDULING

You can automatically schedule cycles in the MES and calculate the actual delivery date based on the production load.

Benefits

Reduction in estimated production times and manual errors.
Standardization of operational processes.
Planning and scheduling based on objective data.
Tangible ROI.
Cross-departmental collaboration and improved information flow.