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Methodology for Estimating the Safety and Quality of the Aviation Service Provider Activities Using the Principal Component Analysis

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Abstract

The paper considers the issues of processing the results of observations and audits of safety and quality by the example of an aircraft maintenance organization. It is shown that reducing the model dimension allows for more rational allocation of resources for safety and quality assurance.

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REFERENCES

  1. International Standards and Recommended Practices. Annex 19 to the Convention on International Civil Aviation. Safety Management, ICAO, 2016.

  2. Postanovlenie Pravitel’stva Rossiiskoi Federatsii ot 18.11.2014 no. 1215 (Decree of the Government of the Russian Federation no. 1215 of November 18, 2014).

  3. Safety Management Manual (SMM). Doc. 9859, ICAO, 2018.

  4. Muller, R., Wittmer, A., and Drax, C., Aviation Risk and Safety Management: Methods and Applications in Aviation Organizations, Springer, 2014.

    Book  Google Scholar 

  5. Zenchenko, T.A., Gorshkov, V.A., Sirotin, N.N., Frolkov, A.I., and Pleshakov, A.I., Identification Method of the Time-Series Properties of the Aviation Events, Izv. Vuz. Av. Tekhnika, 2019, vol. 62, no. 2, pp. 4–11 [Russian Aeronautics (Engl. Transl.), 2019, vol. 62, no. 2, pp. 175–183].

    Google Scholar 

  6. Ribeiro, H., Coursework a Risk Management Review for a Small Operator Air Safety Management, URL: https://www.researchgate.net/publication/333092360_Coursework_A_Risk_Management_Review_for_a_Small_Operator_Air_Safety_Management_-ASM_EPM973_-Safety_Risk_Management_Lecturer_-Dr_Jari_Nisula.

  7. Kuklev, E. and Zhilinsky, V., Accident Risk Assessment for Highly Reliable Aviation Systems in Emergency Situations, Transport and Telecommunication, 2018, vol. 19, no. 1, pp. 59–63.

    Article  Google Scholar 

  8. Smurov, M.Yu., Kuklev, E.A., Evdokimov, V.G., and Gipich, G.N., Safety of Civil Aircraft Taking into Account the Risks of Negative Events, Transport Rossiiskoi Federatsii, 2012, no. 1 (38), pp. 54–58.

    Google Scholar 

  9. Sharov, V.D. and Vorob’ev, V.V., Fuzzy Risk Assessment of Aviation Events, Nauchnyi Vestnik MGTU GA, 2017, vol. 20, no. 3, pp. 6–12.

    Google Scholar 

  10. Leveson, N.G., Engineering a Safer World. Systems Thinking Applied to Safety, Cambridge, London: MIT Press, 2011.

    Google Scholar 

  11. Sullivan, G.P., Pugh, R., Melendez, A.P., and Hunt, W.D. Operations and Maintenance Best Practices. A Guide to Achieving Operational Efficiency. Prepared by Pacific Northwest National Laboratory for the Federal Energy Management Program U.S. Department of Energy, 2010, URL: https://www.energy.gov/sites/prod/files/2013/10/f3/omguide_complete.pdf .

  12. Beker, I., Kesic, I., Radlovacki, V., Delic, M., Ševic, D., and Moraca, S., Improvement of the Maintenance Management Process of Complex Technical Systems which Demand High Reliability, Tehnicki Vjesnik, 2017, vol. 24, no. 5, pp. 1543–1550.

    Google Scholar 

  13. Mercier, S. and Castro, I.T., Stochastic Comparisons of Imperfect Maintenance Models for a Gamma Deteriorating System, European Journal of Operational Research, 2019, vol. 273(1), pp. 237–248.

    Article  MathSciNet  Google Scholar 

  14. Human Factor Guidelines for Aircraft Maintenance Manual. Doc. 9824, ICAO, 2003

  15. IATA Safety Report 2018, Montreal, Geneva: IATA, 2019.

  16. Ivanov, A.I., Kuznetsov, A.A., Nikolaikin, N.I., and Sharov, V.D., Interaction Improvement of the Workers Serving Aviation Equipment by Selection of Crews Structure for Decrease in Mistakes Number, XXI Vek: Itogi Proshlogo i Problemy Nastoyashchego Plyus, 2017, no. 01(35), pp. 41–47.

    Google Scholar 

  17. Shukri, S., Millar, R., Gratton, G., and Garner, M., The Potential risk of Communication Media in Conveying Critical Information in the Aircraft Maintenance Organization: A Case Study, IOP Conference Series: Materials Science and Engineering, 6th Innovation in Aerospace Engineering and Technology, 2016, Kuala Lumpur, Malaysia, vol. 152, article no. 012044.

    Google Scholar 

  18. Rankin, W., Hibit, R., Allen, J., and Sargent, R., Development and Evaluation of the Maintenance Error Decision Aid (MEDA) Process, International Journal of Industrial Ergonomics, 2000, vol. 26, no. 2, pp. 261–276.

    Article  Google Scholar 

  19. Xiaomei, Ni, Huawei, Wong, Changchang, Che, Jiyu, Hong, and Zhongdong, Sun, Civil Aviation Safety Evaluation Based on Deep Belief Network and Principal Component Analysis, Safety Science, 2019, vol. 112, pp. 90–95.

    Google Scholar 

  20. Aviation Occurrence Categories Definitions and Usage Notes, CAST-ICAO, 2008, URL: https://www.cast-safety.org/pdf/cictt_occurrence-category0804.pdf.

  21. Wang, Y.C., Prediction of Engine Failure Time Using Principal Component Analyses, Categorical Regression Tree and Back Propagation Network, Journal of Ambient Intelligence and Humanized Computing, 2018, URL: https://link.springer.com/article/10.1007/s12652-018-0997-7.

  22. Khamrakulov, I.V. and Zubkov, B.V., Effektivnost’ ispol’zovaniya poletnoi informatsii (Efficiency of Flight Data Usage), Moscow: Transport, 1991.

    Google Scholar 

  23. Sharov, V.D., Joint Application of Statistical Methods and a Special Program for the Analysis of Flight Data of Landings, Nauchnyi Vestnik MGTU GA, 2008, no. 135, pp. 79–87.

    Google Scholar 

  24. Sakach, R.V., Zubkov, B.V., and Davidenko, M.F., Bezopasnost’ poletov (Flight Safety), Moscow: Transport, 1989.

    Google Scholar 

  25. Jolliffe, I.T., Principal Component Analysis, New York: Springer, 2002.

    MATH  Google Scholar 

  26. Borovikov, V.P., STATISTICA. Iskusstvo analiza dannykh na komp’yutere (STATISTICA. The Art of Analyzing Data by a Computer), St. Petersburg: Piter, 2003.

    Google Scholar 

  27. Kaiser, H.F., The Application of Electronic Computer to Factor Analysis, Educational and Psychological Measurement, 1960, vol. 20, issue 1, pp. 141–151.

    Article  Google Scholar 

  28. Glavnye komponenty i faktornyi analiz (Principal Components and Factor Analysis), StatSoft, URL: http://www.statsoft.ru/home/textbook/modules/stfacan.html#index.

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ACKNOWLEDGEMENTS

The study was supported by the Russian Foundation for Basic Research, project no. 19-38-90215.

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Authors and Affiliations

  1. Moscow State Technical University of Civil Aviation, Kronshtadtskii blv. 20, 125993, Moscow, Russia

    V. D. Sharov, V. V. Vorob’ev, N. I. Nikolaikin, V. L. Kuznetsov & S. A. Tolstykh

Authors
  1. V. D. Sharov
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  2. V. V. Vorob’ev
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  3. N. I. Nikolaikin
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  4. V. L. Kuznetsov
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  5. S. A. Tolstykh
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Corresponding author

Correspondence to V. D. Sharov.

Additional information

Translated from Izvestiya Vysshikh Uchebnykh Zavedenii, Aviatsionnaya Tekhnika, 2020, No. 4, pp. 17 - 26.

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Sharov, V.D., Vorob’ev, V.V., Nikolaikin, N.I. et al. Methodology for Estimating the Safety and Quality of the Aviation Service Provider Activities Using the Principal Component Analysis. Russ. Aeronaut. 63, 575–585 (2020). https://doi.org/10.3103/S1068799820040030

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  • DOI: https://doi.org/10.3103/S1068799820040030

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