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Case Study
Digital Twin to innovate the production line
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A simulation in a virtual environment to prevent critical situations and/or to find the production sequence that maximizes throughput.
Where: italy
Where: italy
Challenge
Lagor is a small-to-medium-sized Italian company, active in the Asti area, which has been manufacturing power transformers (PT Cores) since 1971.
Approach
Depending on product specifications, the production cycle of a transformer involves it being carried out through several work stations, using special platforms and conveyor belts. The products do not all follow a clockwise (or counterclockwise) direction, but their paths may intersect.
The simultaneous movement of many PT Cores, if not properly managed, can result in stalled situations on the line, causing substantial delays in delivery times. It is therefore advisable to be able to predict each movement so as to be more efficient and avoid blockages.
Solution
Engineering was called in to create a digital replica of the production line. Using Digital Twin, we created a customized digital replica that can mimic the decision-making process of the production manager.
The tool, given the initial state of the line (location and stage of product processing), is able to simulate its progress by anticipating any blockages. Any simulated criticality results in a warning signal returned to the production manager.
Results
Testing of different production sequences to identify the best
Anticipation and reporting of any deviation of the system from the deisdered state
Impacts
Technologies
Digital Twin
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See, think, simulate, and decide: Digital Twin is the entry point into the era of the data economy, the virtual replica of a real product and process.
To know more
Use Case
Enable Traceability for AgriFood
How to use digital technologies to improve food chain traceability
Client Story
ENGIE: a customer service always connected
To develop customer-centric solutions spanning renewable energy services and personalized technical support, adopting suitable intelligent technology is crucial.
Research Project
TwinEU: Digital Twins for European Elecricity Systems
Artificial Intelligence and eXtended Reality for a cutting-edge European Digital Twin, focused on interoperability and data exchange through the integration of the Energy Data Space.
-
Use Case
Enable Traceability for AgriFood
How to use digital technologies to improve food chain traceability
-
Client Story
ENGIE: a customer service always connected
To develop customer-centric solutions spanning renewable energy services and personalized technical support, adopting suitable intelligent technology is crucial.
-
TwinEU: Digital Twins for European Elecricity Systems
Artificial Intelligence and eXtended Reality for a cutting-edge European Digital Twin, focused on interoperability and data exchange through the integration of the Energy Data Space.
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