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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Main Authors: Woch Marta, Żurek Józef, Tomaszewska Justyna
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201821004012
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spelling 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
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AT zurekjozef multicriteriamathematicalmodelofthepilottrainingprocess
AT tomaszewskajustyna multicriteriamathematicalmodelofthepilottrainingprocess
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