DIMECO

Success Case – Dimeco

SECTOR

Manufacturing

DEVICE

PC App

TECHNOLOGY

Digital Twin

Artificial Intelligence

Data visualization

Machine Learning

CONTEXT

Dimeco is a company specialized in designing and manufacturing production lines for metal parts, working with sheets or coils of various materials.

It identified that it had the need for an advanced graphical representation of the HMI of its production lines, as well as the capability to calculate the loop size and production speed of its manufacturing processes.

Panoramic view of a production line for metal parts enriched with KPIs and key metrics

SOLUTION

Dimeco's production line with a graph that shows historical data and its progress through a line chart.

To address these needs, we have adapted TOKII to the specific needs of Dimeco to achieve an advanced visualization solution based on a digital twin with the ability to simulate scenarios that allows calculating the configuration using machine learning and artificial intelligence.

RESULT

With the adoption of this solution, they have managed to improve productivity, reduce costs, and save time. Furthermore, they have been able to develop a new line of business and increase customer satisfaction.