1. Ktisis Cyprus University of Technology
  2. Cyprus University of Technology (Research Output)
  3. Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/29739
DC FieldValueLanguage
dc.contributor.authorWorth, Aidan-
dc.contributor.authorTelevantos, Aris-
dc.contributor.authorEvmides, Nicos-
dc.contributor.authorMichaelides, Michalis P.-
dc.contributor.authorHerodotou, Herodotos-
dc.date.accessioned2023-07-10T07:47:39Z-
dc.date.available2023-07-10T07:47:39Z-
dc.date.issued2022-06-06-
dc.identifier.citationProceedings of 23rd IEEE International Conference on Mobile Data Management (MDM), 2022, 6-9 June, Paphos, Cyprus, pp. 437-439en_US
dc.identifier.isbn9781665451765-
dc.identifier.issn15516245-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/29739-
dc.description.abstractThe port call process encapsulates a visitation cycle of a ship to a port and can generate a wealth of data. The real time analysis of port call data can be used to find bottlenecks in the port call process, establish targets based on key performance indicators (KPIs), and to understand how shipping traffic impacts a port's efficiency. This demonstration will showcase a new Power BI interactive report powered by a multidimensional OLAP cube for very fast performance, which is built on top of a data warehouse collecting information from various sources in real time. The report currently visualizes several KPIs and other types of information that can be filtered per port, time-period, vessel type, origin or destination ports, and various other categories to help manage arrivals, departures, and port operations.en_US
dc.language.isoenen_US
dc.rights© Copyright IEEE - All rights reserved.en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectKey performance indicatoren_US
dc.subjectDecision makingen_US
dc.subjectData visualizationen_US
dc.subjectData warehousesen_US
dc.subjectInformation filtersen_US
dc.subjectReal-time systemsen_US
dc.subjectMarine vehiclesen_US
dc.titleOnline Analytical Processing of Port Calls for Decision Supporten_US
dc.typeConference Papersen_US
dc.collaborationDelevant Business Solutions Ltden_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryMechanical Engineeringen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.relation.conference23rd IEEE International Conference on Mobile Data Management (MDM)en_US
dc.identifier.doi10.1109/MDM55031.2022.00095en_US
dc.identifier.scopus2-s2.0-85137557658-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85137557658-
cut.common.academicyear2022-2023en_US
dc.identifier.spage437en_US
dc.identifier.epage439en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairetypeconferenceObject-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-0549-704X-
crisitem.author.orcid0000-0002-8717-1691-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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