In this webinar, our expert in Siemens factory automation, Aldo Alessandro Negri, demonstrates a comprehensive approach to realizing the digital twin in manufacturing. He helps explain why we need an integrated, holistic approach in these applications instead of merely testing and designing systems separately?
With digitalization 4.0 Industries, we must satisfy the speed to market, advanced flexibility, quality, and a machines’ efficiency simultaneously. All these attributes are found via a reliable digital twin of the machine.
Today’s modern machines are very complicated with various interacting sub-systems, and the unit-dose packaging machine analyzed in this webinar is no exception. It is an exceptional example of providing many intricate features to deliver subsequent customer and marketing benefits.
As part of Industry 4.0 technology, the digital twin empowers intelligence to interconnect machines on the shop floor, orchestrating and executing a product efficiently.
With the overwhelming complexities of technological innovation trends and software in manufacturing, a new level of sophistication requires a comprehensive digital twin. Companies struggle with the intricate nature of new complex systems, framework consistency, physical and digital domain integration, data exchange and technological maturity.
Learn how to adopt digital transformations in discrete process industries and view a practical example of an all-inclusive digital twin in real-time through augmented reality.
Also, witness how simulation, testing and IoT converge the virtual world and the real, including low and high-frequency electromagnetics modeling and evaluation. Moreover, learn to achieve the objectives of performance, reliability, safety and efficiency. Learn more.
Siemens’ Xcelerator portfolio helps companies of all sizes create and leverage digital twins that provide organizations with new insights, opportunities, and automation levels to drive innovation.
Siemens Digital Industries Software – where today meets tomorrow.
About our expert:
Aldo Alessandro Negri – A systems engineer and technical sales support professional for Siemens S.p.A., including modeling, simulation and control application for industrial machinery. He has a Master of Science in Automation and Control Engineering from Polytechnic University of Milan.