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DTSTART:20231029T030000
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UID:calendar.27628.field_data.0@www.ugov-ricerca.uniroma1.it
DTSTAMP:20260406T010721Z
CREATED:20240125T223923Z
DESCRIPTION: Abstract:With the advent of Industry 4.0\, digital representat
 ions of products and manufacturing systems have been considered central fo
 r optimizing their development\, production\, and delivery phases. Digital
  twins are not simply conceived as simulation models of their physical cou
 nterpart\, differently they are developed as means for better understandin
 g and control of the real system. To keep alignment with physical systems 
 along their whole lifecycle\, digital twins need automation for synchroniz
 ation and model updates. Different data-driven approaches will be explored
  for model generation of process flows and equipment from different data v
 iews. The advantages and disadvantages of these approaches will be discuss
 ed 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 i
 n real time. Applications in manufacturing and circular economies will be 
 described\, showcasing their potential to optimize production processes\, 
 reduce waste\, and enhance sustainability. Bio:Andrea Matta is Full Profes
 sor of Manufacturing and Production Systems at Department of Mechanical En
 gineering of Politecnico di Milano. He graduated in Industrial Engineering
  at Politecnico di Milano where he develops his teaching and research acti
 vities since 1998. He was Distinguished Professor at the School of Mechani
 cal Engineering of Shanghai Jiao Tong University from 2014 to 2016 and Gue
 st Professor between 2017-2019. He has been visiting professor at Ecole Ce
 ntrale Paris (France)\, University of California at Berkeley (USA)\, and T
 ongji University (China). His research area includes analysis\, design and
  management of manufacturing and health care systems. He is Editor in Chie
 f 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 Sustaina
 ble Production Automation. He is member of scientific committee in several
  international conferences. Member of the Steering Committee of PhD on Mec
 hanical Engineering. Member of the ADA University Advisory Board. He was a
 warded with the Shanghai One Thousand Talent and Eastern Scholar in 2013.
DTSTART;TZID=Europe/Paris:20240202T150000
DTEND;TZID=Europe/Paris:20240202T160000
LAST-MODIFIED:20240130T082042Z
LOCATION:Aula Magna\, DIAG
SUMMARY:Seminar: Towards Autonomous and Adaptable Digital Twins - Andrea Ma
 tta
URL;TYPE=URI:http://www.ugov-ricerca.uniroma1.it/node/27628
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