Issue |
MATEC Web Conf.
Volume 294, 2019
2nd International Scientific and Practical Conference “Energy-Optimal Technologies, Logistic and Safety on Transport” (EOT-2019)
|
|
---|---|---|
Article Number | 04004 | |
Number of page(s) | 6 | |
Section | Modern Technologies of Organization of International Transportations and Logistics | |
DOI | https://doi.org/10.1051/matecconf/201929404004 | |
Published online | 16 October 2019 |
Constructing a database structure in the problem of the assignment of air transport operators to commissioned tasks
1
Warsaw University of Technology, Faculty of Production Engineering, Poland
2
Warsaw University of Technology, Faculty of Transport, Poland
3
OLTIS Polska Sp. z o. o., Poland
4
CID International, Czech Republic, Ostrava
* Corresponding author: mizdeb@wt.pw.edu.pl
The article defines the database structure used in the issue of the assignment of air transport operators to commissioned transport tasks. The purpose of the work is to develop a database structure that fulfills the function of recording information, presenting results and processing calculated data. Presenting the database in a modular manner is a new concept of data flow management in the problem of the assignment of air transport operators to tasks. The issue of the assignment of air service operators to tasks is a complex optimization problem. The complexity of the database architecture used in the assignment of operators to tasks depends on the number of modules responsible for individual functions implemented in the process of determining the assignment of operators to tasks. In addition, the paper presents a mathematical model of the assignment of operators to tasks, includes basic data entered into the model and collected in the database, describes the assignment restrictions and the criterion function. In order to solve the problem, an optimization algorithm concept has been proposed to solve the analyzed problem. The problem of the assignment has been presented in the multi-criteria aspect.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.