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Improved load planning of RoRo vessels by adopting blockchain and internet-of-things
student.
Hochschule Wismar, University of Applied Sciences: Technology, Business and Design, DEU.
Hochschule Wismar, University of Applied Sciences: Technology, Business and Design, DEU.
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2020 (English)In: 22nd International Conference on Harbor, Maritime and Multimodal Logistics Modelling and Simulation, HMS 2020 / [ed] Bottani E.,Bruzzone A.G.,Longo F.,Merkuryev Y.,Piera M.A., Dime University of Genoa , 2020, p. 58-65Conference paper, Published paper (Refereed)
Abstract [en]

Ports are vital to the global economy, as up to 90% of goods are transferred through seaports. With increasing vessel sizes, cargo volumes and higher demand for supply-chain optimization, seaports are required to be more efficient and competitive. In the present study, a proposed solution incorporating IoT and Blockchain is considered into automating many of the activities in the load planning process, which is then evaluated via simulation. Real data is collected concerning different types of cargo for RoPax vessels with the intended goal of reducing planning time in a seaport. The results contribute as one piece of the mosaic on the avenue towards becoming a “Smart Port”, which deploys various digitalization technologies in order to become a fully automated port. The suggested approach to be integrated, builds upon IoT sensors in combination with the lightweight version of a Blockchain to improve balance indicators on a trim of a vessel. A developed simulation tool was used for evaluating a number of scenarios, with each scenario run set to 2500 times. The simulation results indicate an improvement of 50-160% from the current load planning operations for RoPax vessels. © 2020 The Authors.

Place, publisher, year, edition, pages
Dime University of Genoa , 2020. p. 58-65
Keywords [en]
Ballast, Blockchain, Internet-of-Things, Port Automation, Simulation, Competition, Ports and harbors, Supply chains, Cargo volume, Current loads, Fully automated, Global economies, Load planning, Planning time, Ro-Ro vessel, Supply chain optimization, Internet of things
National Category
Computer Sciences Media and Communication Technology
Identifiers
URN: urn:nbn:se:bth-20882DOI: 10.46354/i3m.2020.hms.009Scopus ID: 2-s2.0-85097714657ISBN: 9788885741478 (print)OAI: oai:DiVA.org:bth-20882DiVA, id: diva2:1514199
Conference
22nd International Conference on Harbor, Maritime and Multimodal Logistics Modelling and Simulation, HMS 2020, Vitual, Online, 16 September 2020 through 18 September 2020
Funder
European Regional Development Fund (ERDF)Available from: 2021-01-04 Created: 2021-01-04 Last updated: 2021-01-04Bibliographically approved

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Henesey, Lawrence

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