TY - GEN
T1 - Digital Twins: Revolutionizing Automotive Supply Chains
AU - Triantafyllou, Maria
AU - Al-Bazi, Ammar
AU - Ahmad, Mahmood Abdulsattar
PY - 2024/8/28
Y1 - 2024/8/28
N2 - This paper explores the transformative potential of Digital Twins (DTs) in the automotive sector, particularly in the context of the 4th industrial revolution. It delves into the evolution of DTs from their origins to their current applications to highlight the rapid technological advancement and the increasing influence DTs have on various industries and contexts. It discusses how DTs, powered by advanced technologies like IoT, Big Data analytics, and simulation techniques, are being adopted by automotive manufacturers to enhance the lifecycle management of vehicles and optimize supply chain processes. It examines the role of DTs in various stages of a vehicle’s lifecycle, from its conceptualization and design to predictive maintenance and disposal to highlight the importance for interoperability and improved integration with other advanced technologies. Moreover, it identifies key research gaps that need to be addressed for further advancement in this field. It emphasizes the importance of fostering DT integration with other disruptive technologies and developing robust data management strategies. It calls for collaborative efforts in research and industry to bridge the existing gaps and fully unlock the potential of DTs in the automotive sector.
AB - This paper explores the transformative potential of Digital Twins (DTs) in the automotive sector, particularly in the context of the 4th industrial revolution. It delves into the evolution of DTs from their origins to their current applications to highlight the rapid technological advancement and the increasing influence DTs have on various industries and contexts. It discusses how DTs, powered by advanced technologies like IoT, Big Data analytics, and simulation techniques, are being adopted by automotive manufacturers to enhance the lifecycle management of vehicles and optimize supply chain processes. It examines the role of DTs in various stages of a vehicle’s lifecycle, from its conceptualization and design to predictive maintenance and disposal to highlight the importance for interoperability and improved integration with other advanced technologies. Moreover, it identifies key research gaps that need to be addressed for further advancement in this field. It emphasizes the importance of fostering DT integration with other disruptive technologies and developing robust data management strategies. It calls for collaborative efforts in research and industry to bridge the existing gaps and fully unlock the potential of DTs in the automotive sector.
KW - AI
KW - Digital twins
KW - Internet of Things
KW - automotive supply chains
UR - https://link.springer.com/chapter/10.1007/978-3-031-68628-3_1
UR - http://www.scopus.com/inward/record.url?scp=85203196557&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-68628-3_1
DO - 10.1007/978-3-031-68628-3_1
M3 - Conference publication
SN - 9783031686276
T3 - Lecture Notes in Networks and Systems
SP - 3
EP - 13
BT - Proceeding of the 7th International Conference on Logistics Operations Management, GOL 2024 - Smart Sustainable and Green Logistics
A2 - Benadada, Youssef
A2 - Mhada, Fatima-Zahra
A2 - Boukachour, Jaouad
A2 - Ouzayd, Fatima
A2 - El Hilali Alaoui, Ahmed
PB - Springer
T2 - 7th International Conference on Logistics Operations Management
Y2 - 2 May 2024 through 4 May 2024
ER -