IoT Integration and Digital Twin Technology in Smart Manufacturing: Advancements and Prospects

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.

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Publication Details

Published
2024-11-27
DOI
https://doi.org/10.1109/imitec60221.2024.10851037
Primary Topic
Digital Transformation in Industry
Type
article
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article

IoT Integration and Digital Twin Technology in Smart Manufacturing: Advancements and Prospects

Peter Onu, Anup Pradhan, Nelson Sizwe Madonsela
Digital Transformation in Industry
article

IoT Integration and Digital Twin Technology in Smart Manufacturing: Advancements and Prospects

Peter Onu, Anup Pradhan, Nelson Sizwe Madonsela
article en

Abstract

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.

Bowen University (NG), University of Johannesburg (ZA)
Industry, innovation and infrastructure
Openalex Percentile: Top 61%
Digital Transformation in Industry
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IoT Integration and Digital Twin Technology in Smart Manufacturing: Advancements and Prospects — Peter Onu, Anup Pradhan, et al. · (2024) | TGRS Research Map | TGRS