Digital Twin Technology in Logistics: A Narrative Review of Implementation, Impact, and Challenges

Authors

  • Muhammad Rifqy Naufal Abdillah Politeknik Negeri Madiun
  • Muhammad Wahyuilahi Politeknik Astra

DOI:

https://doi.org/10.61194/sijl.v2i4.732

Keywords:

Digital Twin, Logistics Technology, Supply Chain Innovation, Real-Time Analytics, Predictive Logistics, Smart Warehouse, Blockchain Integration

Abstract

The adoption of digital twin technology in logistics has gained significant traction as organizations seek to enhance supply chain transparency, operational efficiency, and predictive accuracy. This review explores how digital twin technologies improve logistics performance, identifying what enables success and what challenges persist. Literature was collected through comprehensive searches in Scopus and Google Scholar using keyword-based Boolean strategies, with inclusion criteria focusing on peer-reviewed studies from the last decade that explicitly address digital twin applications in logistics systems. Findings reveal that digital twins enable smarter decision-making through real-time tracking and predictive tools, especially in urban and maritime logistics. Empirical evidence highlights substantial gains in logistics performance, especially in urban and maritime logistics contexts. However, systemic barriers persist, including challenges in integrating legacy systems, high implementation costs, cybersecurity risks, and shortages of skilled professionals. Comparative insights reveal a digital divide between developed and developing economies, driven by disparities in infrastructure and institutional support. To accelerate adoption, stakeholders—especially policymakers and logistics managers—must prioritize infrastructure, workforce readiness, and inclusive innovation policies. Future studies should prioritize cross-regional comparisons and develop standardized evaluation models. Overall, digital twin technology holds strong promise for transforming global logistics if supported by cohesive governance, innovation, and strategic investment.

References

Abideen, A., Sundram, V., Pyeman, J., Othman, A., & Sorooshian, S. (2021). Digital twin integrated reinforced learning in supply chain and logistics. Logistics, 5(4), 84. https://doi.org/10.3390/logistics5040084 DOI: https://doi.org/10.3390/logistics5040084

Abouelrous, A., Bliek, L., & Zhang, Y. (2023). Digital twin applications in urban logistics: an overview. Urban Planning and Transport Research, 11(1). https://doi.org/10.1080/21650020.2023.2216768 DOI: https://doi.org/10.1080/21650020.2023.2216768

Cebir, Y. and Akkartal, E. (2024). Digital twin in logistics and supply chain management., 170-192. https://doi.org/10.4018/979-8-3693-3575-8.ch008 DOI: https://doi.org/10.4018/979-8-3693-3575-8.ch008

Draksler, T., Cimperman, M., & Obrecht, M. (2023). Data-driven supply chain operations—the pilot case of postal logistics and the cross-border optimization potential. Sensors, 23(3), 1624. https://doi.org/10.3390/s23031624 DOI: https://doi.org/10.3390/s23031624

Frankó, A., Vida, G., & Varga, P. (2020). Reliable identification schemes for asset and production tracking in industry 4.0. Sensors, 20(13), 3709. https://doi.org/10.3390/s20133709 DOI: https://doi.org/10.3390/s20133709

Freese, F. and Ludwig, A. (2024). A conceptual framework for supply chain digital twins – development and evaluation. International Journal of Logistics Research and Applications, 1-23. https://doi.org/10.1080/13675567.2024.2324895 DOI: https://doi.org/10.1080/13675567.2024.2324895

Gao, L., Li, S., & Guo, H. (2024). Visualization and analysis of research areas and hot topics in the field of digital twins. Ieee Access, 12, 26897-26904. https://doi.org/10.1109/access.2024.3365291 DOI: https://doi.org/10.1109/ACCESS.2024.3365291

Ghandar, A., Ahmed, A., Zulfiqar, S., Hua, Z., Hanai, M., & Theodoropoulos, G. (2021). A decision support system for urban agriculture using digital twin: a case study with aquaponics. Ieee Access, 9, 35691-35708. https://doi.org/10.1109/access.2021.3061722 DOI: https://doi.org/10.1109/ACCESS.2021.3061722

Hauge, J., Zafarzadeh, M., Jeong, Y., Yi, L., Khilji, W., & Wiktorsson, M. (2020). Employing digital twins within production logistics., 1-8. https://doi.org/10.1109/ice/itmc49519.2020.9198540 DOI: https://doi.org/10.1109/ICE/ITMC49519.2020.9198540

Hou, K., Diao, X., Shi, H., Ding, H., Zhou, H., & Vaulx, C. (2023). Trends and challenges in aiot/iiot/iot implementation. Sensors, 23(11), 5074. https://doi.org/10.3390/s23115074 DOI: https://doi.org/10.3390/s23115074

Jeong, D., Baek, M., Lim, T., Kim, Y., Kim, S., Lee, Y., … & Lee, I. (2022). Digital twin: technology evolution stages and implementation layers with technology elements. Ieee Access, 10, 52609-52620. https://doi.org/10.1109/access.2022.3174220 DOI: https://doi.org/10.1109/ACCESS.2022.3174220

Kajba, M., Jereb, B., & Cvahte, T. (2023). Exploring digital twins in the transport and energy fields: a bibliometrics and literature review approach. Energies, 16(9), 3922. https://doi.org/10.3390/en16093922 DOI: https://doi.org/10.3390/en16093922

Kajba, M., Obrecht, M., & Cvahte, T. (2023). Digital twins for sustainability purposes in logistics industry: a literature review. Logforum, 19(4), 611-625. https://doi.org/10.17270/j.log.2023.927 DOI: https://doi.org/10.17270/J.LOG.2023.927

Lin, W. and Low, M. (2023). A digital twin simulation framework for smart warehousing., 0320-0324. https://doi.org/10.1109/ieem58616.2023.10406911 DOI: https://doi.org/10.1109/IEEM58616.2023.10406911

Manickam, S., Yarlagadda, L., Gopalan, S., & Chowdhary, C. (2023). Unlocking the potential of digital twins: a comprehensive review of concepts, frameworks, and industrial applications. Ieee Access, 11, 135147-135158. https://doi.org/10.1109/access.2023.3338530 DOI: https://doi.org/10.1109/ACCESS.2023.3338530

Moshood, T., Nawanir, G., Sorooshian, S., & Okfalisa, O. (2021). Digital twins driven supply chain visibility within logistics: a new paradigm for future logistics. Applied System Innovation, 4(2), 29. https://doi.org/10.3390/asi4020029 DOI: https://doi.org/10.3390/asi4020029

Ng, T., Liu, D., & Leung, A. (2024). Leveraging blockchain and rfid/nfc technology for secure and traceable logistics for documents with digital twin., 428-433. https://doi.org/10.1109/blockchain62396.2024.00063 DOI: https://doi.org/10.1109/Blockchain62396.2024.00063

Pan, S., Zhou, W., Piramuthu, S., Giannikas, V., & Chen, C. (2021). Smart city for sustainable urban freight logistics. International Journal of Production Research, 59(7), 2079-2089. https://doi.org/10.1080/00207543.2021.1893970 DOI: https://doi.org/10.1080/00207543.2021.1893970

Raja, V., Muralidhar, D., Mythrayan, B., Prathiksha, K., Venkateshwaran, S., & Sivakumar, V. (2024). Implementation of digital twin in supply chain and logistics., 340-345. https://doi.org/10.1201/9781003450252-40 DOI: https://doi.org/10.1201/9781003450252-40

Ran, W., Hu, Y., & Yang, Z. (2022). Application of digital twins to flexible production management: taking a shandong factory as an example. Mobile Information Systems, 2022, 1-11. https://doi.org/10.1155/2022/6099409 DOI: https://doi.org/10.1155/2022/6099409

Rigó, L., Fabianová, J., Lokšík, M., & Mikušová, N. (2024). Utilising digital twins to bolster the sustainability of logistics processes in industry 4.0. Sustainability, 16(6), 2575. https://doi.org/10.3390/su16062575 DOI: https://doi.org/10.3390/su16062575

Sun, X., Yu, H., Solvang, W., Wang, Y., & Wang, K. (2021). The application of industry 4.0 technologies in sustainable logistics: a systematic literature review (2012–2020) to explore future research opportunities. Environmental Science and Pollution Research, 29(7), 9560-9591. https://doi.org/10.1007/s11356-021-17693-y DOI: https://doi.org/10.1007/s11356-021-17693-y

Torky, M., Darwish, A., & Hassanien, A. (2022). Integrated digital twins and blockchain framework for privacy and security of applications., 99-112. https://doi.org/10.1007/978-3-030-96802-1_6 DOI: https://doi.org/10.1007/978-3-030-96802-1_6

Werbińska-Wojciechowska, S., Giel, R., & Winiarska, K. (2024). Digital twin approach for operation and maintenance of transportation system—systematic review. Sensors, 24(18), 6069. https://doi.org/10.3390/s24186069 DOI: https://doi.org/10.3390/s24186069

Zarnitz, S., Straube, F., & Nitsche, B. (2023). Digital supply chain twins for sustainable planning of a logistics system., 68-76. https://doi.org/10.1007/978-3-031-28839-5_8 DOI: https://doi.org/10.1007/978-3-031-28839-5_8

Zhou, F., Yu, K., Xie, W., Lyu, J., Zheng, Z., & Zhou, S. (2024). Digital twin-enabled smart maritime logistics management in the context of industry 5.0. Ieee Access, 12, 10920-10931. https://doi.org/10.1109/access.2024.3354838 DOI: https://doi.org/10.1109/ACCESS.2024.3354838

李, 超., 张, 婷., & 陆, 建. (2024). A digital twin system for low-altitude logistics., 127. https://doi.org/10.1117/12.3033294 DOI: https://doi.org/10.1117/12.3033294

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Published

2024-11-30

How to Cite

Abdillah, M. R. N., & Wahyuilahi, M. (2024). Digital Twin Technology in Logistics: A Narrative Review of Implementation, Impact, and Challenges. Sinergi International Journal of Logistics, 2(4), 225–238. https://doi.org/10.61194/sijl.v2i4.732

Issue

Vol. 2 No. 4 (2024): November 2024

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Articles

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Copyright (c) 2024 Muhammad Rifqy Naufal Abdillah, Muhammad Wahyuilahi

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