Digital Twins: Strategic Guide to Utilize Digital Twins to Improve Operational Efficiency in Industry 4.0
The Fourth Industrial Revolution, known as Industry 4.0, has transformed the manufacturing landscape by integrating advanced digital technologies, fostering automation, interconnectivity, and data-driven decision-making. Among these innovations, Digital Twins (DTs) have emerged as a pivotal tool, en...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/17/1/41 |
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| author | Italo Cesidio Fantozzi Annalisa Santolamazza Giancarlo Loy Massimiliano Maria Schiraldi |
| author_facet | Italo Cesidio Fantozzi Annalisa Santolamazza Giancarlo Loy Massimiliano Maria Schiraldi |
| author_sort | Italo Cesidio Fantozzi |
| collection | DOAJ |
| description | The Fourth Industrial Revolution, known as Industry 4.0, has transformed the manufacturing landscape by integrating advanced digital technologies, fostering automation, interconnectivity, and data-driven decision-making. Among these innovations, Digital Twins (DTs) have emerged as a pivotal tool, enabling real-time monitoring, simulation, and optimization of production processes. This paper provides a comprehensive exploration of DT technology, offering a strategic framework for its effective implementation within Industry 4.0 environments to enhance operational efficiency. The proposed methodology integrates key enabling technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning to create accurate digital replicas of manufacturing systems. Through a detailed case study, this work demonstrates how DTs can optimize production processes, reduce downtime, and improve maintenance strategies. The findings highlight DTs’ transformative potential in achieving continuous improvement, competitiveness, and operational excellence. This research aims to provide organizations with actionable insights and a roadmap to leverage DT technology for sustainable industrial innovation. |
| format | Article |
| id | doaj-art-e77510efb86e4c6a853ece2f420c3b1a |
| institution | Kabale University |
| issn | 1999-5903 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj-art-e77510efb86e4c6a853ece2f420c3b1a2025-01-24T13:33:39ZengMDPI AGFuture Internet1999-59032025-01-011714110.3390/fi17010041Digital Twins: Strategic Guide to Utilize Digital Twins to Improve Operational Efficiency in Industry 4.0Italo Cesidio Fantozzi0Annalisa Santolamazza1Giancarlo Loy2Massimiliano Maria Schiraldi3Department of Enterprise Engineering, University of Rome Tor Vergata, 00133 Rome, ItalyDepartment of Enterprise Engineering, University of Rome Tor Vergata, 00133 Rome, ItalyDepartment of Enterprise Engineering, University of Rome Tor Vergata, 00133 Rome, ItalyDepartment of Enterprise Engineering, University of Rome Tor Vergata, 00133 Rome, ItalyThe Fourth Industrial Revolution, known as Industry 4.0, has transformed the manufacturing landscape by integrating advanced digital technologies, fostering automation, interconnectivity, and data-driven decision-making. Among these innovations, Digital Twins (DTs) have emerged as a pivotal tool, enabling real-time monitoring, simulation, and optimization of production processes. This paper provides a comprehensive exploration of DT technology, offering a strategic framework for its effective implementation within Industry 4.0 environments to enhance operational efficiency. The proposed methodology integrates key enabling technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning to create accurate digital replicas of manufacturing systems. Through a detailed case study, this work demonstrates how DTs can optimize production processes, reduce downtime, and improve maintenance strategies. The findings highlight DTs’ transformative potential in achieving continuous improvement, competitiveness, and operational excellence. This research aims to provide organizations with actionable insights and a roadmap to leverage DT technology for sustainable industrial innovation.https://www.mdpi.com/1999-5903/17/1/41digital twinIndustry 4.0operational excellenceInternet of Thingscase study |
| spellingShingle | Italo Cesidio Fantozzi Annalisa Santolamazza Giancarlo Loy Massimiliano Maria Schiraldi Digital Twins: Strategic Guide to Utilize Digital Twins to Improve Operational Efficiency in Industry 4.0 Future Internet digital twin Industry 4.0 operational excellence Internet of Things case study |
| title | Digital Twins: Strategic Guide to Utilize Digital Twins to Improve Operational Efficiency in Industry 4.0 |
| title_full | Digital Twins: Strategic Guide to Utilize Digital Twins to Improve Operational Efficiency in Industry 4.0 |
| title_fullStr | Digital Twins: Strategic Guide to Utilize Digital Twins to Improve Operational Efficiency in Industry 4.0 |
| title_full_unstemmed | Digital Twins: Strategic Guide to Utilize Digital Twins to Improve Operational Efficiency in Industry 4.0 |
| title_short | Digital Twins: Strategic Guide to Utilize Digital Twins to Improve Operational Efficiency in Industry 4.0 |
| title_sort | digital twins strategic guide to utilize digital twins to improve operational efficiency in industry 4 0 |
| topic | digital twin Industry 4.0 operational excellence Internet of Things case study |
| url | https://www.mdpi.com/1999-5903/17/1/41 |
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