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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.
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Research Project
QLMD: Quantum Computing for an efficient urban logistical ecosystem
Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
Case Study
Evolution of systems supporting Refineries and Depots: toward a regenerative model
The capabilities transformation program to support refinery and depot maintenance processes in GTR&M: real digital process transformation.
Research Project
Circular TwAIn - AI for Recycling, Reusing and Remanufacturing
An AI platform to increase the performance, resilience, and sustainability of direct manufacturing and process industries, promoting circular economy.
-
Research Project
QLMD: Quantum Computing for an efficient urban logistical ecosystem
Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
-
Case Study
Evolution of systems supporting Refineries and Depots: toward a regenerative model
The capabilities transformation program to support refinery and depot maintenance processes in GTR&M: real digital process transformation.
-
Research Project
Circular TwAIn - AI for Recycling, Reusing and Remanufacturing
An AI platform to increase the performance, resilience, and sustainability of direct manufacturing and process industries, promoting circular economy.
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