I³-Lab Business Analytics – Optimisation Potentials and Strategic Risks for Maritime Logistics Systems
Within the framework of the project, institutes from different fields work together on questions of business analytics in maritime logistics. The project is thus at the interface of computer science, mathematics, management and logistics and is therefore highly interdisciplinary.
| Project duration | 01.08.2018 – 15.10.2022 |
| Project funding | funded by Administration for Science, Research and Equality Hamburg |
| Our status | Project partner |
| Contact person | Marvin Kastner |
| Project homepage | https://www2.tuhh.de/i3-ba-ml |
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Description
The rapidly increasing amount of available and usable data and the recent increased performance of existing computers enables data analyses and calculations on a scale that was unthinkable just a few years ago. While at present, the immense performance of algorithms is often uncritically accepted, but possible risks are often completely ignored. This opens up new challenges for university teaching and research. Along with digitalization, companies also want and need to adapt corresponding processes and they need new research results in order to implement methods of business analytics in the form of innovative solutions.
The project is mainly dedicated to the application of business analytics in the field of maritime logistic systems, as there is still great potential for optimization. On the other hand, this industry now has huge amounts of data, such as ship movements and weather data. The evaluation of which can enable the development of improved strategies in personnel and fleet deployment or revenue management, and new solutions, for example in autonomously controlled ship traffic.
Publications (Excerpt)
| [182448] |
| Title: Current state and trends in tramp ship routing and scheduling. <em>Digital transformation in maritime and city logistics</em> |
| Written by: Pache, Hannah and Kastner, Marvin and Jahn, Carlos |
| in: <em>HICL 2019</em>. (2019). |
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| on pages: 369-394 |
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| Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.) |
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| DOI: 10.15480/882.2504 |
| URL: http://hdl.handle.net/11420/3788 |
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Note: i3lab
Abstract: Purpose: This paper discusses the current state of routing and scheduling in tramp shipping, an important planning problem on the operational level in maritime logistics. The purpose is to report and compare the existing methods and to investigate possible future additions and improvements. Furthermore, an outlook on potential applications of machine learning for this optimization problem is given. Methodology: In this paper an extensive literature review of reports and journal papers on cargo routing in tramp shipping of the last seven years is conducted. The wide range of findings are categorized by the different considered characteristics. The results are analyzed and trends are pointed out. Findings: Optimization problems in tramp shipping differ in their main properties from liner shipping or classical vehicle routing problems. Thus, different approaches and implementations are required when developing or adapting existing optimization algorithms. The real-world problem is often limited in the optimization, so found solutions are improvements, but cannot fully reflect reality yet. Originality: This paper provides a comprehensive overview of tramp ship routing and scheduling. Although optimization of routing and scheduling in liner shipping is fairly well researched, the publications on tramp shipping are sparse in comparison. This leaves room for future research, as the findings for liner shipping and vehicle routing are not directly applicable to tramp shipping.