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Exploiting simulation model potential in investigating handling capacity of Ro-Ro terminals: The case study of Norvik seaport
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0003-3439-6982
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Structural Engineering and Bridges.ORCID iD: 0000-0003-3968-6778
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0003-1126-3781
2022 (English)In: Simulation Modelling Practice and Theory, ISSN 1569-190X, Vol. 117, p. 102513-102513, article id 102513Article in journal (Refereed) Published
Abstract [en]

In this paper, the spotlight is directed towards studying the handling capacity of pure Ro-Ro terminals, especially the new terminal of Norvik port. To this end, a simulation model based on a distributed architecture is built to assess the handling capacity under different flow scenarios with a particular focus on the trailer flow and export-lorry flow the terminal can handle in terms of resource availability, trailer-dwell times and management rules. This helped to determine the number of resources required to evacuate smoothly the incoming flows and to identify where potential bottlenecks happen the most inside the terminal. The established model is verified then validated by experts to conduct properly the experiment study where the model is fed with empirical data provided by terminal authorities. This experiment showed that the terminal can handle flows of which trailers do not exceed 17% and the export fraction of lorries is at most 42%.

Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 117, p. 102513-102513, article id 102513
National Category
Computer Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-309196DOI: 10.1016/j.simpat.2022.102513ISI: 000781385000009Scopus ID: 2-s2.0-85125481714OAI: oai:DiVA.org:kth-309196DiVA, id: diva2:1640031
Note

QC 20220509

Available from: 2022-02-23 Created: 2022-02-23 Last updated: 2022-06-25Bibliographically approved

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Abourraja, Mohamed NezarKringos, NicoleMeijer, Sebastiaan

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CiteExportLink to record
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