Thursday, October 16th 2024
(Milan Time) 14:00 -15:00
(Beijing Time) 20:00-21:00
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Tencent ID:
Biography
Elisa Negri is Senior Assistant Professor in the Manufacturing Group at the Department of Management, Economics and Industrial Engineering of Politecnico di Milano (Italy). She is Professor of “Industrial Plants Management” and “Data Modelling and Analysis for Complex Systems” and is Core Faculty member at the POLIMI Graduate School of Management. She serves as Scientific Coordinator of the Extended Partnership “Made In Italy – Circular and Sustainable”. She researches on smart manufacturing and digital technologies for manufacturing, data modelling and digital twins to support production planning and control activities. Her experience in funded research and industrial projects is extensive. She is active in International Scientific Communities, serving as Vicechair for the Social Media of IFAC TC5.1 and as Associate Editor of the International Journal “Flexible Services and Manufacturing”. By now she is co-author of 59 International scientific publications.
Title: Digital twins for advanced decision support in production management
Abstract
Digital twins are envisioned as a key component for advanced decision support through the lifecycle of manufacturing systems, that are now considered cyber-physical systems. The applications of digital twins are disparate through the beginning, middle and end-of-life of the manufacturing systems. The keynote will focus on the role of digital twins for a more effective production management decision-making, where digital twins are the enablers for advanced monitoring, control, prediction and support to optimization. Selected examples of research projects related to the adoption of digital twins in manufacturing systems will be discussed. Also, reflections on many research open challenges related to digital twins for the production management will cover intriguing topics, such as industrial metaverse, human digital twins and cognitive digital twins. Finally, the challenges will be discussed in relationship to the digital continuity along the lifecycle of manufacturing systems, with particular emphasis on the linkage between design/redesign and production management decision support.