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Smart Container Stacking in the Yard
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0002-0518-6532
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0003-0183-3613
Hochschule Wismar, University of Applied Sciences, DEU.
Tallinn University of Technology, EST.
2021 (English)In: International Conference on Harbour, Maritime and Multimodal Logistics Modelling and Simulation, CAL-TEK , 2021, p. 37-44Conference paper, Published paper (Refereed)
Abstract [en]

The workloads at seaport container terminals are increasing; thus, to enhance performance, the focus on improving container stacking is argued to be an integral factor that should be studied. The main problem is the number of unproductive moves of handling containers. A well-planned stacking area is argued to be a key requirement in order to increase the performance of the terminal operations and assist in maximum utilization of existing resources. In this work, we investigated and then propose the best possible solution by evaluating GAs in order to minimize the unproductive moves often witnessed in terminal operations. A discrete-event simulation CSS model has been developed to study the inbound container stacking that considers in the model the following: the working of the yard crane, Automated Guided Vehicles, delivery trucks and obtain the simulation-based results of GA. We propose a mathematical model to minimize the container handling costs during stacking and retrieval operations in the container terminal yard. © 2021 The Authors.

Place, publisher, year, edition, pages
CAL-TEK , 2021. p. 37-44
Series
International Conference on Harbour, Maritime and Multimodal Logistics Modelling and Simulation, ISSN 27240339
Keywords [en]
Automated guided vehicle (AGV), Container stacking, Container Terminal, Genetic Algorithm (GA)
National Category
Control Engineering Computational Mathematics
Identifiers
URN: urn:nbn:se:bth-23753DOI: 10.46354/i3m.2021.hms.005Scopus ID: 2-s2.0-85139046868ISBN: 9788885741591 OAI: oai:DiVA.org:bth-23753DiVA, id: diva2:1703758
Conference
23rd International Conference on Harbor, Maritime and Multimodal Logistic Modeling and Simulation, HMS 2021, Virtual, Online, 15 September through 17 September 2021
Funder
European Regional Development Fund (ERDF), Connect2SmallPorts
Note

open access

Available from: 2022-10-14 Created: 2022-10-14 Last updated: 2022-10-14Bibliographically approved

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fulltext(553 kB)163 downloads
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Henesey, LawrenceSilonosov, Alexandr

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