Advances in Smart Manufacturing: Integrating AI, Digital Twins, and Edge Computing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 235
Special Issue Editors
Interests: smart factories; smart manufacturing; digital twins and digital agents; production logistics; AR; VR; 5G; distributed systems and edge computing; AI-based algorithms; concepts for decision and prediction
Interests: smart handling and assembly; pneumatics; hydraulics; piezo technology in manufacturing; smart factory concepts; modelling and simulation
Special Issue Information
Dear Colleagues,
Smart manufacturing lies at the heart of modern industrial transformation, where technologies such as artificial intelligence (AI), digital twins, and edge computing enable more dynamic, agile, flexible, and intelligent production processes. This Special Issue explores the latest advancements in these key technologies and their impact on the evolution of future smart factories, as well as principles of transforming the existing factories towards smart factories.
The central focus of the Special Issue is the integration of AI and digital twins to enhance the modelling, real-time simulation, and optimization of industrial systems and processes including production logistics. Applications of edge computing and 5G networks in distributed production networks, which enable decentralized and rapid data processing, and their role in ensuring high responsiveness and flexibility in manufacturing will also be addressed.
The Special Issue emphasizes interdisciplinary research on theoretical and practical challenges, including questions of security, scalability, and sustainable implementation. It also includes case studies showcasing the application of these technologies in real-world industrial environments and discussions on future research directions and innovations.
By encompassing a wide range of topics, this Special Issue aims to contribute to the development of intelligent, sustainable, and highly adaptable industrial ecosystems that will reshape modern manufacturing.
Prof. Dr. Niko Herakovič
Dr. Marko Šimic
Guest Editors
Manuscript Submission Information
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Keywords
- smart manufacturing
- flexible and agile manufacturing
- production logistics
- artificial intelligence
- digital twins
- edge computing
- 5G networks
- real-time simulations and optimizations
- sustainable manufacturing
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