Oct 2026· Proceedings of the ACM/IEEE 29th International Conference on Model Driven Engineering Languages and Systems· 0 citations· 26 references
TL;DR
The potential of digital twins as a technology backbone for Nature 5.0 is explored, connecting digital models with natural systems in real-time - not only for environmental monitoring, but for long-term decision-making and sustainability.
Abstract
By connecting digital models and physical assets in real time, digital twins enable new levels of agility across industry for planning and optimization, as well as predictive maintenance. The recent vision of Industry 5.0 puts digital twin technology at the service of the green transition, emphasizing sustainable and human-centric goals for industry. But in fact, these goals also concern nature and how humans interact with nature. In this talk, we explore the potential of digital twins as a technology backbone for Nature 5.0, connecting digital models with natural systems in real-time - not only for environmental monitoring, but for long-term decision-making and sustainability. We discuss different aspects of engineering digital twins of ecosystems, including digital twin architectures, interoperability, model management, and self-adaptation, as well as challenges and opportunities in this interdisciplinary work. The talk will be illustrated by examples from our own work, such as the digital twin of the Oslofjord.
A digital twin is a virtual replica of physical assets, processes, or systems that integrates real-time data and advanced simulation techniques. Aligned with Industry 5.0, digital twins in supply chains emphasize collaboration between human expertise and digital models, ensuring that human-centered values such as flexi...
Abstract: The rapid advancement of Industry 4.0 technologies has transformed traditional industrial systems into intelligent, data-driven ecosystems. Among these, digital twins have emerged as key enablers of industrial transformation by integrating real-time data, simulation, and predictive analytics. This study prese...
Manisha Gupta, Mamta Singh· European Conference on Innov...· 0 citations
Abstract Digital twins lack a common understanding in the literature, and their impact on operations and supply chain management should be further explored to realise the technology’s potential value. Conducting a multi-round Delphi survey with additional expert interviews, we identify the underlying technical componen...
C. Schmidt, Maximilian Klöckner, Stephan M. Wagner et al.· Production Planning & Co...· 0 citations
The transition from Industry 4.0 to Industry 5.0 represents a fundamental shift
in the design and operation of transport and logistics systems. While Industry 4.0
emphasizes automation, connectivity, and data-driven optimization, Industry 5.0
introduces a human-centric, sustainable, and resilient approach to system dev...
Osman Lindov· SMART MANUFACTURING ON THE H...· 0 citations
Digital-twin-enabled human–machine collaboration (HMC) has increasingly been proposed as a system-level approach for connecting human operators, robots, sensors, artificial intelligence modules, and manufacturing resources. However, the literature varies substantially in what is called a digital twin, how physical and...
Hai-Tao Zhang, Jing-Tao Chen, Gao-Yu Liu et al.· Electronics· 0 citations
Energy communities (ECs) are increasingly recognized as a mechanism for integrating distributed renewable generation, reducing emissions, and enhancing local resilience. However, realizing their full potential requires sophisticated engineering and operational support along their lifecycle. While digital twin (DT) appr...
Alexandra Jäger, Leandra Brauchle, Johannes Karrer et al.· Proceedings of the ACM/IEEE...· 0 citations
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