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Abstrakty
This article presents a model and an algorithm for identifying, collecting, processing, analyzing and using data on risks at an airline (deviations from the standards in the activities of various airline units and personnel) to minimize them and thereby to achieve an acceptable level of flight safety. A methodology is also presented for formulating the composition of flight safety indicators, based on an expert approach, for the units and personnel of the airline, making decisions in this field in various areas of its activities. The model is based on the quality and flight safety systems that form part of an integrated management system at one of Latvia’s airlines. The system makes it possible to analyze safety aspects on the basis of actual information drawn from various sources into the airline’s information base, where it is collected, classified, stored and analyzed.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
75--83
Opis fizyczny
Bibliogr. 17 poz., rys., wzory
Twórcy
autor
- Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia
autor
- ECO Airlines, Skultes iela 50/15, Skulte, Mârupes pagasts, Mârupes novads, LV-2108, Latvia
autor
- Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia
autor
- ECO Airlines, Skultes iela 50/15, Skulte, Mârupes pagasts, Mârupes novads, LV-2108, Latvia
Bibliografia
- [1] ICAO Annex 19 - Safety Management 2nd edition, July 2016.
- [2] Dissanayake V.B. and Shestakov, V. “Estimation of aircraft state inflight under the influence of adverse factors.” Series 5, vol. 12 (2002): Rîga.
- [3] ICAO Doc 9859 AN/474 Management on management security flights, 3rd edition, 2013. http://www.scac.ru/ru/wp-content/uploads/2016/DOC_9859_3.pdf
- [4] Jastrebinskis, A. and Šestakovs, V. “The Method for Assessing the Level of Flight Safety in an Airline with Small and Medium Operations.” 4. Starptautiskâ zinâtniskâ konference “Transporta sistçmas, loìistika un inþenierija-2016”. Rîga, Latvia, 30 Jun-1 Jul., 2016. Rîga: Rîgas Aeronavigâcijas Institûts, 2016, pp. 20-30.
- [5] Commission regulation (EU) No 965/2012 of 5 October 2012 - Air Operations.
- [6] EASA Certification Specification Large Aircrafts CS-25 Amendment 26.
- [7] ICAO Doc 10004: “Global Aviation Safety Plan.” 2020-2022 Edition. https://www.icao.int/Meetings/a40/Documents/10004_ru.pdf
- [8] B. V., Sharov V. D. Teoriya i praktika opredeleniya riskov v aviapredpriyatii pri razrabotke sistemy upravleniya bezopasnost’yu poletov. [Theory and practice of determining risks in air transport in the development of a flight safety control system], MGTU GA, 174, pp. 18-25.
- [9] Bogdane, Ruta, Bitiņš, Aleksandrs, Šestakovs, Vladimirs, and Dissanayake, Yasaratne Bandara. “Airline Quality Assessment Methodology Taking into Account the Flight Safety Level Based on Factor Analysis.” Transport and Aerospace Engineering. Vol. 6, No. 1 (2018): pp. 15-21. ISSN 2255-968X. e-ISSN 2255-9876. doi: 10.2478/tae-2018-0002.
- [10] Bogdane Ruta, Gorbačovs, Olegs, Sestakovs Vladimirs, and Arandas Ibrahim. “Development of a model for assessing the level of flight safety in an airline using concept of risk.” Procedia Computer Science. (2019, in press): pp. 1-10. SCOPUS. ISSN: 1877-0509. doi: 10.1016/j.procs.2019.01.150.
- [11] Johnson, William, B. and Maddox, Michael E. “A model to explain human factors in aviation maintenance”. Avionics News. (2007): pp. 38-41.
- [12] “Failure Modes and Effects Analysis (FMEA)” https://ntrs.nasa.gov › api › citations › downloads.
- [13] “RCM Reliability Management”. https://solutions.1c.ru/catalog/eam-rcm/features.
- [14] Šestakovs, Vladimirs, Tereščenko, Jevgenijs, Maklakovs, Juris, Bitiņš, Aleksandrs, Chatys, Rafal. “Algorithm for Analyzing Deviations and Irregularities in the Functioning of the Airline’s Structural Units and personnel in the Face of Uncertainty.” Aviation. Vol. 24, No. 2 (2020): pp. 51-56. ISSN 1648-7788. e-ISSN 1822-4180. Pieejams. doi:10.3846/aviation.2020.12375.
- [15] Solodov A.K. Fundamentals of Risk Management. http://elib.fa.ru/fbook/solodov_64842.pdf/download/solodov_64842.pdf
- [16] Beleshev S.D. Gurvich F.G. Mathematical and statistical methods of expert assessments. M.: Statistic, 2001, pp. 263.
- [17] Litvak.B.G Expert Information. M.: Statistic, 2002, pp. 184.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-09dcb106-0cf1-4703-ae05-13ef6f6d7aed