Digital Twins: Revolutionizing Automotive Supply Chains

Maria Triantafyllou*, Ammar Al-Bazi, Mahmood Abdulsattar Ahmad*

*Corresponding author for this work

Research output: Chapter in Book/Published conference outputConference publication

Abstract

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.
Original languageEnglish
Title of host publicationProceeding of the 7th International Conference on Logistics Operations Management, GOL 2024 - Smart Sustainable and Green Logistics
EditorsYoussef Benadada, Fatima-Zahra Mhada, Jaouad Boukachour, Fatima Ouzayd, Ahmed El Hilali Alaoui
PublisherSpringer
Pages3-13
Number of pages11
ISBN (Electronic)9783031686283
ISBN (Print)9783031686276
DOIs
Publication statusPublished - 28 Aug 2024
Event7th International Conference on Logistics Operations Management - Marrakesh, Morocco
Duration: 2 May 20244 May 2024

Publication series

NameLecture Notes in Networks and Systems
Volume1104 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference7th International Conference on Logistics Operations Management
Abbreviated titleGOL'24
Country/TerritoryMorocco
CityMarrakesh
Period2/05/244/05/24

Keywords

  • AI
  • Digital twins
  • Internet of Things
  • automotive supply chains

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  • Disruption Factors Framework for Logistics Risk Management

    Ahmad, M., Al-Bazi, A. & Triantafyllou, M., 28 Aug 2024, Proceeding of the 7th International Conference on Logistics Operations Management, GOL 2024 - Smart Sustainable and Green Logistics. Benadada, Y., Mhada, F.-Z., Boukachour, J., Ouzayd, F. & El Hilali Alaoui, A. (eds.). Springer, p. 197–206 10 p. (Lecture Notes in Networks and Systems; vol. 1104 LNNS).

    Research output: Chapter in Book/Published conference outputConference publication

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