Digital twin solutions for state-aware, dynamic task allocation in flexible cyber-physical production systems
Matteo DE MARCHI, Erwin RAUCH, Dominik T. MATT
Abstract. While experiencing the transition from the fourth towards the fifth industrial revolution, Cyber-Physical Production Systems are proving their potential in enhancing production effectiveness and efficiency. The core characteristics of Cyber-Physical Production Systems suggest great chances for further exploitation of this production paradigm: the generation of data and its exchange among deeply interconnected entities paves the way for the design of advanced use cases. This work aims at considering Digital Twin applications to rethink the fundamental control logic of production systems, by virtualizing and redistributing responsibilities among physical and digital entities. This foresees an integrated and bidirectional data flow that allows the physical and digital counterparts to act as one, enabling system’s self-awareness and, in turn, self-optimization. Following the presentation of the technical aspects, key benefit, open challenges, and limitations are thoroughly reported.
Keywords
Industry 4.0/5.0, Smart Manufacturing, Digital Twin
Published online 9/10/2025, 8 pages
Copyright © 2025 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Matteo DE MARCHI, Erwin RAUCH, Dominik T. MATT, Digital twin solutions for state-aware, dynamic task allocation in flexible cyber-physical production systems, Materials Research Proceedings, Vol. 57, pp 548-555, 2025
DOI: https://doi.org/10.21741/9781644903735-64
The article was published as article 64 of the book Italian Manufacturing Association Conference
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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