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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