Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/29739
Title: Online Analytical Processing of Port Calls for Decision Support
Authors: Worth, Aidan 
Televantos, Aris 
Evmides, Nicos 
Michaelides, Michalis P. 
Herodotou, Herodotos 
Major Field of Science: Engineering and Technology
Field Category: Mechanical Engineering
Keywords: Key performance indicator;Decision making;Data visualization;Data warehouses;Information filters;Real-time systems;Marine vehicles
Issue Date: 6-Jun-2022
Source: Proceedings of 23rd IEEE International Conference on Mobile Data Management (MDM), 2022, 6-9 June, Paphos, Cyprus, pp. 437-439
Start page: 437
End page: 439
Conference: 23rd IEEE International Conference on Mobile Data Management (MDM) 
Abstract: The 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.
URI: https://hdl.handle.net/20.500.14279/29739
ISBN: 9781665451765
ISSN: 15516245
DOI: 10.1109/MDM55031.2022.00095
Rights: © Copyright IEEE - All rights reserved.
Type: Conference Papers
Affiliation : Delevant Business Solutions Ltd 
Cyprus University of Technology 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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