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Seminar: Towards Autonomous and Adaptable Digital Twins

Andrea Matta
Data dell'evento: 
Friday, 2 February, 2024 - 15:00 to 16:00
Aula Magna, DIAG
Andrea Marrella (marrella@diag.uniroma1.it)
With the advent of Industry 4.0, digital representations of products and manufacturing systems have been considered central for optimizing their development, production, and delivery phases. Digital twins are not simply conceived as simulation models of their physical counterpart, differently they are developed as means for better understanding and control of the real system. To keep alignment with physical systems along their whole lifecycle, digital twins need automation for synchronization and model updates. Different data-driven approaches will be explored for model generation of process flows and equipment from different data views. The advantages and disadvantages of these approaches will be discussed to provide a comprehensive understanding. Additionally, techniques for online validation and synchronization of digital twins will be presented, ensuring that the digital twin accurately reflects the physical system in real time. Applications in manufacturing and circular economies will be described, showcasing their potential to optimize production processes, reduce waste, and enhance sustainability.
Andrea Matta is Full Professor of Manufacturing and Production Systems at Department of Mechanical Engineering of Politecnico di Milano. He graduated in Industrial Engineering at Politecnico di Milano where he develops his teaching and research activities since 1998. He was Distinguished Professor at the School of Mechanical Engineering of Shanghai Jiao Tong University from 2014 to 2016 and Guest Professor between 2017-2019. He has been visiting professor at Ecole Centrale Paris (France), University of California at Berkeley (USA), and Tongji University (China). His research area includes analysis, design and management of manufacturing and health care systems. He is Editor in Chief of Flexible Services and Manufacturing Journal since 2017, past member of editorial board of OR Spectrum journal and IEEE Robotics and Automation Letters journal. He was Chair of the technical committee IEE RAS Sustainable Production Automation. He is member of scientific committee in several international conferences. Member of the Steering Committee of PhD on Mechanical Engineering. Member of the ADA University Advisory Board. He was awarded with the Shanghai One Thousand Talent and Eastern Scholar in 2013.
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