Abstract
Dry Ports are critical infrastructures in the logistics chain, optimizing seaport operations by providing customs services and container storage on land. Some of their main challenges include traffic congestion, environmental impact, high dependence on regulations and paper documentation, and the need to provide reliable information to government authorities and road and rail freight industries. More recently, Digital Twins have emerged as a promising solution to monitor real-time information and optimize Dry Port operations simultaneously. This paper presents the initial proposal of a reference architecture for developing Dry Port’s Digital Twins. It results from a design science research project conducted in cooperation with a major IT company in the logistics sector and a Dry Port operator in Portugal. ArchiMate was the selected language for architecture modeling. Our theoretical contribution is in the form of a high-level reference architecture, confirming the suitability of the ArchiMate language. For practitioners, this work is part of the Portuguese NEXUS agenda: Innovation Pact for Green and Digital Transition for Transport, Logistics, and Mobility, assisting in adopting Blockchain, Optical Recognition, and Artificial Intelligence as crucial technological enablers.
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https://nexuslab.pt/ [Online] [Accessed 18th of January 2024].
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https://www.projeto-jul.pt/ [Online] [Accessed 17th of January 2024]
- 3.
https://www.fordesi.pt/solucoes/gestao-para-terminais-multimodais-de-mercadorias/ /[Online] [Accessed 19th of January 2024].
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Acknowledgments
This project was funded by Project “Agenda Mobilizadora Sines Nexus”. Ref. No. 7113, supported by the Recovery and Resilience Plan (PRR) and by the European Funds Next Generation EU, following Notice No. 02/C05-i01/2022, Component 5 - Capitalization and Business Innovation - Mobilizing Agendas for Business Innovation. The work was also funded by national funds through the FCT-Foundation for Science and Technology, I.P., within the scope of the project CISUC-UID/CEC/00326/2020 and by the European Social Fund, through the Regional Operational Program Centro 2020.
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Antunes, J., Barata, J., da Cunha, P.R., Estima, J., Tavares, J. (2024). A Reference Architecture for Dry Port Digital Twins: Preliminary Assessment Using ArchiMate. In: Araújo, J., de la Vara, J.L., Santos, M.Y., Assar, S. (eds) Research Challenges in Information Science. RCIS 2024. Lecture Notes in Business Information Processing, vol 513. Springer, Cham. https://doi.org/10.1007/978-3-031-59465-6_9
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