Multi-criteria mathematical model of the pilot training process
In most NATO countries, helicopter pilots are prepared in accordance with a modern system of threestage training: selection, basic and advanced. The training in the air is performed according to the parallelism of the training. The scheduling of pilot training process based on parallel model, which...
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2018-01-01
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Online Access: | https://doi.org/10.1051/matecconf/201821004012 |
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doaj-3f90cc2cd122427f8199c0fe2f79176c2021-02-02T00:04:28ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012100401210.1051/matecconf/201821004012matecconf_cscc2018_04012Multi-criteria mathematical model of the pilot training processWoch MartaŻurek JózefTomaszewska JustynaIn most NATO countries, helicopter pilots are prepared in accordance with a modern system of threestage training: selection, basic and advanced. The training in the air is performed according to the parallelism of the training. The scheduling of pilot training process based on parallel model, which includes the technological relationships between the individual exercises, whereby for each air exercise, the exercises are specified, which must be done beforehand. The purpose of this contribution is to propose a multi-criteria mathematical model which would enable the selection of exercises for each pilot, the appropriate selection of the aircraft and the moment of beginning of each exercise, so that all required exercises will be carried out in the shortest possible time and the number of trained, in a state of readiness pilots, should be as high as possible. Additionally, in this paper the sketch of a multi-criteria solution is presented. A crucial feature of this work is the model application to optimize pilot training.https://doi.org/10.1051/matecconf/201821004012 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Woch Marta Żurek Józef Tomaszewska Justyna |
spellingShingle |
Woch Marta Żurek Józef Tomaszewska Justyna Multi-criteria mathematical model of the pilot training process MATEC Web of Conferences |
author_facet |
Woch Marta Żurek Józef Tomaszewska Justyna |
author_sort |
Woch Marta |
title |
Multi-criteria mathematical model of the pilot training process |
title_short |
Multi-criteria mathematical model of the pilot training process |
title_full |
Multi-criteria mathematical model of the pilot training process |
title_fullStr |
Multi-criteria mathematical model of the pilot training process |
title_full_unstemmed |
Multi-criteria mathematical model of the pilot training process |
title_sort |
multi-criteria mathematical model of the pilot training process |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2018-01-01 |
description |
In most NATO countries, helicopter pilots are prepared in accordance with a modern system of threestage training: selection, basic and advanced. The training in the air is performed according to the parallelism of the training. The scheduling of pilot training process based on parallel model, which includes the technological relationships between the individual exercises, whereby for each air exercise, the exercises are specified, which must be done beforehand. The purpose of this contribution is to propose a multi-criteria mathematical model which would enable the selection of exercises for each pilot, the appropriate selection of the aircraft and the moment of beginning of each exercise, so that all required exercises will be carried out in the shortest possible time and the number of trained, in a state of readiness pilots, should be as high as possible. Additionally, in this paper the sketch of a multi-criteria solution is presented. A crucial feature of this work is the model application to optimize pilot training. |
url |
https://doi.org/10.1051/matecconf/201821004012 |
work_keys_str_mv |
AT wochmarta multicriteriamathematicalmodelofthepilottrainingprocess AT zurekjozef multicriteriamathematicalmodelofthepilottrainingprocess AT tomaszewskajustyna multicriteriamathematicalmodelofthepilottrainingprocess |
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1724314694043303936 |