Application of the multidimensional statistical analysis in the development of an integrated safety management system in an aircraft maintenance organization
https://doi.org/10.26467/2079-0619-2021-24-5-8-20
Abstract
Modern aviation enterprises are lots of risks-related owners associated with execution of their activities. Nowadays there are various management systems such as a Quality Management System (QMS), Safety Management System (SMS), etc., which describe all the potential risks for an organization. The problem of synchronization and unification of these systems in the framework of a comprehensive analysis of managing changes and fulfilling production operation remains unsolved at this point. To settle this problem, the article suggests using an integrated safety management system (ISMS). When developing ISMS in an aircraft maintenance organization that integrates the management systems of flight safety, quality, aviation, information, environmental safety, etc., the organization encounters the problem of data redundancy and duplication about manifestations of hazard factors in various aspects of its activities. This can make it difficult to collect and process data and take corrective/preventive measures. The issue of reasonable reduction of the original list of hazard factors can be considered as the subject of decreasing the dimension of the entity activity model, which can be solved using the method of the factor analysis principal components. Furthermore, application of the principal components method provides an expert analyst with supplementary, scientifically-based data on the quality of work and allows him to predict trends. The article based on real data of the aircraft maintenance organization shows the applicability of the method with the purpose for optimizing the list of hazard factors manifestations regarding a single aspect of organization activity.
About the Authors
N. V. AseevRussian Federation
Moscow
V. D. Sharov
Russian Federation
Moscow
References
1. Makhutov, N.A., Pulikovsky, K.B., Shoigu, S.K. and other. (2008). Bezopasnost Rossii. Pravovyye sotsialno-ekonomicheskiye i nauchno-tekhnicheskiye aspekty. Analiz riskov i upravleniye bezopasnostyu: Monografiya [Safety of Russia. Legal socio-economic scientific and technical aspects. Risk analysis and security management: Monograph]. Moscow: MGF "Znaniye" im. akademika K.V. Frolova, 527 p. (in Russian)
2. Leveson, N.G. (2011). Engineering a safer world. Systems thinking applied to safety. London, The MIT Press, 560 p.
3. Mabert, V.A. and Watts, C.A. (2005). Enterprise applications: building best-ofbreedsystems. In book: Strategic ERP. Extension and use. Stanford: Standofrd University Press, chapter 4, p. 52‒70.
4. Zamil, A.M. (2011). Customer relationship management: a strategy to sustain the organization's name and products in the customers' minds. European Journal of Social Sciences, vol. 22, no. 3, p. 451‒459.
5. Lushkin, A.M. (2017). Typical safety management system of an operator in the Russian Federation. Civil Aviation High Technologies, vol. 20, no. 1, p. 8‒16. (in Russian)
6. Nisula, J. (2010). The ARMS methodology for operational risk assessment in aviation organisations. SKYbrary, 67 p. Available at: https://www.skybrary.aero/bookshelf/books/1141.pdf (accessed: 01.03.2021).
7. Sharov, V.D., Vorobyov, V.V. and Zatuchny, D.A. (2021). Risk management methods in the aviation enterprise. Springer Singapore, 214 p. DOI: 10.1007/978-981-33-6017-4
8. Tolstykh, S.A. and Sharov, V.D. (2018). Method of SMS basic elements development for the aerodrome operator. Civil Aviation High Technologies, vol. 21, no. 4, p. 29‒38. DOI: 10.26467/2079-0619-2018-21-4-29-38 (in Russian)
9. Sharov, V.D., Eliseev, B.P. and Vorobyov, V.V. (2019). Analysis of deficiencies in the procedures for the risk management of safety in the ICAO documents. Civil Aviation High Technologies, vol. 22, no. 2, p. 49‒61. DOI: 10.26467/2079-0619-2019-22-2-49-61 (in Russian)
10. Jolliffe, I.T. (2002). Principal component analysis. New York, Springer, 488 p. DOI: 10.1007/b98835
11. Xiaomei, N., Huawei, W., Changchang, C., Jiyu, H. and Zhongdong, S. (2019). Civil aviation safety evaluation based on deep belief network and principal component analysis. Safety Science, vol. 112, p. 90–95. DOI: 10.1016/j.ssci.2018.10.012
12. Sharov, V.D., Vorob’ev, V.V., Nikolaikin, N.I., Kuznetsov, V.L. and Tolstykh S.A. (2020). Methodology for estimating the safety and quality of the aviation service provider activities using the principal component analysis. Russian Aeronaut, vol. 63, no. 4, p. 575–585. DOI: 10.3103/S1068799820040030
13. Borovikov, V.P. (2003). STATISTICA. Iskusstvo analiza dannykh na kompyutere. Dlya professionalov [The art of computer data analysis. For professionals]. 2nd ed. (+ CD). St. Petersburg: Piter, 700 p. (in Russian)
14. Glendon, A.I., Clarke, S.G. and Mckenna, E.F. (2006). Human safety and risk management. 2nd ed. Florida, CRC Press, 528 p. DOI: 10.1201/9781420004687
15. Kuklev, E.A. (2007). Automisation of technological processes of risk's control in the fight safety system. Nauchnyy Vestnik MGTU GA, vol. 122, p. 37‒44. (in Russian)
16. Wang, Y.C. (2018). Prediction of engine failure time using principal component analyses, categorical regression tree and back propagation network. Journal of Ambient Intelligence and Humanized Computing. DOI: 10.1007/s12652-018-0997-7 (accessed: 03.03.2021).
17. Voicu, I., Panaitescu, F.V., Panaitescu, M., Dumitrescu, L.G. and Turof, M. (2018). Risk management with bowtie diagrams. IOP Conference Series: Materials Science and Engineering, vol. 400, issue 8, 6 p. DOI: 10.1088/1757-899X/400/8/082021 (accessed: 03.03.2021).
Review
For citations:
Aseev N.V., Sharov V.D. Application of the multidimensional statistical analysis in the development of an integrated safety management system in an aircraft maintenance organization. Civil Aviation High Technologies. 2021;24(5):8-20. https://doi.org/10.26467/2079-0619-2021-24-5-8-20