article
Integrating Internet of Things (IoT) technologies and Digital Twin (DT) systems has become a mission-critical technological advancement in smart manufacturing. This study explores recent information technology solutions and prospects of IoT integration and DT technology within smart manufacturing environments. Through a comprehensive review of literature and expert insights, this research posits the potential of these technologies in optimizing manufacturing processes, enhancing productivity, and enabling predictive maintenance strategies. Additionally, the study explores the critical role of data analytics in ensuring seamless integration and efficient functioning of IoT and DT systems. This is a contribution to the body of literature on smart manufacturing. It outlines critical areas for future research, including but not limited to ethical implications of AI algorithms, data ownership, privacy concerns, and fair use of intellectual property.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.1109/imitec60221.2024.10851037
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.