Smart manufacturing systems and industry 4.0 technologies
- Submission status
- Open
- Submission deadline
Unlock the potential of smart manufacturing with our curated Collection from Scientific Reports. Industry 4.0 technologies are driving the next industrial revolution, transforming traditional manufacturing processes into interconnected, data-driven systems. This Collection showcases cutting-edge research on cyber-physical systems, artificial intelligence, and the Internet of Things (IoT) in the context of smart manufacturing. Explore how advanced sensors, robotics, and machine learning algorithms are optimizing production efficiency, quality control, and supply chain management. Whether you're a researcher, engineer, or industry professional, this Collection offers invaluable insights into the future of manufacturing.
This collection welcomes original research related to smart manufacturing systems and industry 4.0 technologies.
This collection supports and amplifies research related to SDG 9.
Editors
-
Rodolfo Haber, PhD
Center for Automation and Robotics (CSIC-Universidad Politécnica de Madrid), Spain
-
Andrei Lobov, Dr. Sci
Norwegian University of Science and Technology, Norway
-
Jing Shi, PhD
University of Cincinnati, United States
Rodolfo Haber, PhD, Researcher, Head of GAMHE, Center for Automation and Robotics (CSIC-Universidad Politécnica de Madrid), Madrid, Spain.
Rodolfo Haber is a researcher of the Spanish Council for Scientific Research (CSIC) in the Center for Automation and Robotics (CSIC-UPM). His main research activities are focused on cyber-physical systems, intelligent systems, modeling and control systems, artificial cognitive systems and Industry 5.0. Dr. Haber has been an Editorial Board Member for Scientific Reports since 2022.
Andrei Lobov, Dr. Sci. (Tech.), Associate Professor, Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Norway
Andrei Lobov is an Associate Professor at the Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Norway. His research interests include efficient integration of multi-disciplinary engineering knowledge, its proactive use and support by digital tools throughout product lifecycle. Dr. Lobov has been a member of Scientific Reports since 2022.
Jing Shi, PhD, Professor, Chair of Industrial and Systems Engineering Program, Department of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, USA.
Jing Shi is a professor of mechanical engineering and the chair of industrial and systems engineering program at University of Cincinnati. His areas of research cover smart manufacturing, additive manufacturing, cloud manufacturing, micro/nano manufacturing, multiscale modeling of material processing, sustainable manufacturing, Industry 4.0 technologies, big data analytics, modeling and optimization of complex systems, and renewable energy technologies. Professor Shi has been an Editorial Board Member for Scientific Reports since 2022.
