Fersa and STREAM-0D: optimization of industrial processes
Last 15th of November, Fersa Bearings participated, in Zaragoza, to a session dedicated to the optimization of industrial processes. A good opportunity to spread awareness around end-users’ implementation of the STREAM-0D approach.
Fersa Bearings, one of the end-users of the STREAM-0D project, recently participated, as speaker, to a session dedicated to the optimization of industrial processes. The event was organized by the Chamber of Zaragoza in partnership with entities working in the industrial context and in the promotion of the concept of Industry 4.0.
The goal of the day was to deepen topics regarding the application of monitoring and data management within industrial production and therefore enhance how the optimization of industrial processes could affect SMEs’ competitiveness.
Fersa Bearings, as guest of the event, presented to the public its experience in industrial production and also brought awareness around STREAM-0D project and the simulation models that are involved.
This has been made taking, as an example, Fersa’s growing involvement within the Industry 4.0 paradigm.
In fact, at the beginning, Fersa was tackling the matter of quality control and this demanded for more advanced equipment; later, the attention shifted towards the production and monitoring of the outputs in order to get better quality and reduce costs of the production line.
To obtain this, high quality measurements useful to reduce process variability were required; these measurements have been initially carried out by operators while now they have been assigned to machines – which are able to generate and send data to other machines.
This huge amount of data are now used to feed STREAM-0D simulation models, that are used by Fersa to adapt the production process and achieve the best quality at a minimum cost.
The audience showed great interest and confirmed how strongly SMEs are interested in formats such as the one proposed by the Chamber of Zaragoza, in which case histories play a central role in promoting new approaches to industrial production.
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