Container transaction type prediction: a seaport case in Turkey

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dc.contributor.authorDursun, Elifcan
dc.contributor.authorGungor, Sule
dc.date.accessioned2025-03-17T12:25:29Z
dc.date.available2025-03-17T12:25:29Z
dc.date.issued2023
dc.departmentTarsus Üniversitesi
dc.description.abstractContainer reshuffle is one of the main problems that container terminals face for several reasons. One reason for container reshuffle is uncertain transaction type. Yard planner needs the information for the transaction type to allocate inbound containers without causing a reshuffle. The vessel agent submits the transaction type information on the discharge list. However, before the vessel's arrival, circumstances - such as change of the cargo owner or lack of information - are encountered; therefore, information on the discharge list is unreliable. Yard planner can know the exact transaction type only before the container exits. This article follows the given steps of the cross industry standard process for data mining (CRISP-DM) at a seaport in Turkey to predict the transaction type before vessel arrival. We propose a multiple logistics regression model integrated with the terminal operating system to provide sustainable outputs to planners. The model predicts the container transaction type with 89% accuracy.
dc.description.sponsorshipChina Merchants Energy Shipping
dc.description.sponsorshipThe open access fee of this work is supported by China Merchants Energy Shipping.
dc.identifier.doi10.1504/IJSTL.2023.132648
dc.identifier.endpage59
dc.identifier.issn1756-6517
dc.identifier.issn1756-6525
dc.identifier.issue1-2
dc.identifier.scopus2-s2.0-85171129577
dc.identifier.scopusqualityQ3
dc.identifier.startpage41
dc.identifier.urihttps://doi.org/10.1504/IJSTL.2023.132648
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1704
dc.identifier.volume17
dc.identifier.wosWOS:001044878600003
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInderscience Enterprises Ltd
dc.relation.ispartofInternational Journal of Shipping and Transport Logistics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250316
dc.subjectcontainer reshuffle
dc.subjectcontainer transaction type
dc.subjectCRISP-DM
dc.subjectmultiple logistics regression
dc.subjectseaport
dc.subjectterminal operating system
dc.titleContainer transaction type prediction: a seaport case in Turkey
dc.typeArticle

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