Issue |
SHS Web Conf.
Volume 65, 2019
The 8th International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2 2019)
|
|
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Article Number | 04017 | |
Number of page(s) | 8 | |
Section | Mathematical Methods, Models, Informational Systems and Technologies in Economics | |
DOI | https://doi.org/10.1051/shsconf/20196504017 | |
Published online | 29 May 2019 |
Optimizing the income of a crewing company in Ukraine
1
Odessa I. I. Mechnikov National University, Department of Economic Cybernetics and Information Technologies, Odessa, Ukraine
2
Odessa National Economic University, Department of General Economic Theory and Economic Policy, Odessa, Ukraine
3
Odessa I. I. Mechnikov National University, Department of Finance, Banking and Insurance, Odessa, Ukraine
* Corresponding author: ivashkolm@ukr.net
The article analyzes the status, trends and prospects of the development of the world labor market in the field of the maritime fleet, which makes it possible to determine that for this particular segment, characterized by stable dynamic development in the presence of significant reserves. The theoretical and practical aspects of formation and development of the market of crewing services in Ukraine are also covered. The paper considers such an important task as the selection of the optimal crew for ships' shipowners in order to maximize the income of the crewing company. The economic-mathematical model of optimization of the process of selection of crews of ships was constructed. In this case, the crewing company, which has completed the work on selecting the optimal crew, receives income as a percentage of the remuneration chosen through the model of the crew for the first month of his work. The more qualified this crew, the greater the income will receive a crewing company.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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