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• Scale up successful pilot projects to cover more aspects of your manufacturing
operations.
• Regularly update and maintain the digital technologies to ensure they remain effective
and secure.
9. Collaboration and Partnerships:
• Collaborate with technology providers, research institutions, and industry peers to stay
updated on the latest advancements and best practices in digital manufacturing.
• Participate in industry events, seminars, and forums to exchange knowledge and
experiences with other companies undergoing a similar transition.
10. Continuous Improvement:
• Foster a culture of continuous improvement and innovation within your organization.
• Encourage feedback from employees and stakeholders on the effectiveness of the
digital manufacturing initiatives and use it to drive further enhancements.

Digitalization in Machine Tool Manufacturing

Digitalization of Machining and Forming fabrication systems is a set of measures consisting of
the replacement of analogue systems, and manual or partially manual processes, with electronic
systems and electronically monitored and controlled processes, respectively. The direct aim of
these measures is to reduce the influence of the human factor on manufacturing. The main
expected results from digitalization are mainly related to the increase in product quality and the
increase in the productivity of the manufacturing process.

Before the measures that produce the digitalization process, are digitization activities, i.e., the
transformation of all process parameters and all logistics parameters from analogue quantities
to digital quantities. The need for digitization before digitization is given by the enormous
amount of data to be read, analysed, and their results used for monitoring and control.

The sampling of this data is done with the help of sensors connected to the ends of the machine
tools. The collected data are values of important quantities for the process and for the operation
of the machine: temperatures, speeds, accelerations, vibrations, forces, etc.
The collected data is digitized and then transmitted to the cloud. Here they will be analysed with
specialized software applications (FEM analysis, simulation, etc.) and compared with reference
values imposed by machining and or forming technologies. It is obvious that reading, analysing
and combining as much data as possible will lead to a more accurate digitization of the process
and the state of the manufacturing machine. Thus, by increasing the volume of processed data,
the conditions are created for an optimal replication of the process and the state of the machine,
thus being able to optimize the planning of the processing processes, reduce the consumption
of materials and spare parts, and, at the same time, increase efficiency and precision.

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