Methodology for justifying of the spare parts reserve for the work of special technical means in the course of emergency response

The creation of material resources reserves for the elimination of consequences of natural disasters and technogenic accidents (emergency situations — ES) is one of the main tasks ofUnitedStatesystem of prevention and response to emergency situations. A sufficient amount of material resources, their rational placement, proper storage and quality service ensures the ability quickly to liquidate the immediate danger to human life and health, the organization of paramount life support for the population in the disaster area.

Aims and purposes. There is an actual problem of preliminary assessment, accounting and justification of the spare parts reserve for work special technical means (STM) of the firefighting and rescue service in the course of emergency response, based on the principle of the necessary sufficiency and the maximum possible use of the available forces and means.

Methods. For the planning the required amount of spare parts for STM, taking into account their cost, as well as for substantiating the decision on the optimal number of repair teams capable of ensuring timely replacement of failed units in an ES or its consequences, the methods of queuing theory and queuing systems are applicable.

Results and discussion. The article proposes a method of calculating the optimal reserve of spare parts to ensure the normal operation of STM with economic justification, taking into account the material costs of their acquisition and maintenance of repair teams. There are presented the calculations that allow in practice to take into account the risks associated with insufficient reserve of spare parts and forced downtime of STM due to the inability to quickly troubleshoot during ES response and rescue operations. Practical recommendations for determination of economically expedient quantity of spare parts and number of the operators making repair of special equipment taking into account material costs and indicators of reliability are developed.

Conclusions. The problems of the article correspond to the modern directions of scientific support of operational activities of Emercom of Russia and due to the presence of a wide range of tasks related to the creation, storage, use and replenishment of reserves of material resources during the liquidation of consequences of natural disasters and technogenic accidents.

1. Methodical recommendations on creation, storage, use and replenishment of reserves of material resources for liquidation of emergency situations of natural and technogenic character. Moscow, Emercom of Russia Publ., 2018. 65 p. (in Russian).

2. On protection of population and territories from natural and man-made emergencies. Federal law of Russia on 21 December 1994 No. 68-FZ (ed. on 23 June 2016) (in Russian). Available at: http://www.consultant.ru/document/cons_doc_LAW_5295/ (Accessed 5 February 2019).

3. A. M. Batkovskiy, A. V. Fomina, E. G. Semenova, V. Ya. Trofimets, E. N. Trofimets. Method for adjusting current appropriations under irregular funding conditions. Journal of Applied Economic Sciences, 2016, vol. XI, issue 5(43), pp. 828-841.

4. V. V. Krivoshonok, I. G. Malygin, V. V. Say. Safety system in fire equipment manufacturing. Problemy upravleniya riskami v tekhnosfere / Problems of Technosphere Risk Management, 2008, no. 4(8), pp. 61-69 (in Russian).

5. S. Yu. Balychev, A. M. Batkovskiy, P. V. Kravshuk, V. Ya. Trofimets, E.N. Trofimets. Situational modeling of transportation problems: applied and didactic aspects. Espacios, 2018, vol. 39, no. 10, p. 27.

6. A. K. Chernykh, V. B. Vilkov. Management of transportation safety at the organization of material maintenance of forces and means Emercom of Russia in Emergencies. Pozarovzryvobezopasnost’ / Fire and Explosion Safety, 2016, vol. 25, no. 9,pp. 52-59 (in Russian). DOI: 10.18322/PVB.2016.25.09.52-59.

7. Guidelines for chemical transportation safety, security, and risk management. New York-New Jersey, Center for Chemical Process Safety, John Wiley & Sons, Inc., 2008.202 p. DOI: 10.1002/9780470924860.

8. Terrorism and international transport: towards risk-based security policy. Paris, OECD Publishing, 2009. 150 p. DOI: 10.1787/9789282102329-en.

9. N. V. Kamenetskaya, O. M. Medvedeva, S. B. Khitov. Mathematical modeling in problem of solving situation of explanation of the structure and functioning of the field hospital of Emercom of Russia. Vestnik Sankt-Peterburgskogo universiteta Gosudarstvennoy protivopozharnoy sluzhby MChSRossii / Herald of St. Petersburg University of State Fire Service of Emercom of Russia, 2016, no. 1, pp. 62-67 (in Russian).

10. N. V. Kamenetskaya, O. M. Medvedeva, S. B. Khitov. Application of methods of mathematical modelling at the solution of the problem of identification and the assessment of radiation, chemical and biological situation in zone of emergency. Problemy upravleniya riskami v tekhnosfere / Problems of Technosphere Risk Management, 2016, no. 2(38), pp. 64-69 (in Russian).

11. N. S. Akbar, O. A. Beg (eds). Modeling and simulation in engineering sciences. New York, iTexLi, 2016. 289 p. DOI: 10.5772/62109.

12. W. Fitzgibbon, Yu. A. Kuznetsov, P. Neittaanmaki, O. Pironneau (eds). Modeling, simulation and optimization for science and technology. Amsterdam, Springer, 2014.248 p. DOI: 10.1007/978-94-017-9054-3.

13. A. H. Siddiqi, P. Manchanda, R. Bhardwaj. Mathematical models, methods and applications. New York, Springer, 2015. 309 p. DOI: 10.1007/978-981-287-973-8.

14. F. R. Giordano, W. P. Fox, S. B. Horton. A first course in mathematical modeling. 5th ed. Boston, Cengage Learning, 2013. 704 p.

15. M. Habib. (ed.). Empirical modeling and its applications. New York, ExLi4EvA, 2016. 146 p. DOI: 10.5772/61406.

16. M. M. Meerschaert. Mathematical modeling. 4th ed. New York, Academic Press, 2013. 368 p.

17. Yang Xin-She (ed.). Mathematical modeling with multidisciplinary applications. New York, John Wiley & Sons, 2013. 592 p. DOI: 10.1002/9781118462706.

18. N. V. Kamenetskaya, A. P. Korolkov, S. B. Khitov. Mathematical modeling of technical exploitation’s activities of electronic computers and office equipment in the system of Emercom of Russia. Problemy upravleniya riskami v tekhnosfere / Problems of Technosphere Risk Management, 2017, no. 4(44), pp. 89-94 (in Russian).

19. N. V. Kamenetskaya, O. M. Medvedeva, S. B. Khitov, M. D. Maslakov. Methodology of estimation of the failures’s risks in the work of special technical means in emergency situations. Pozarovzryvobezopasnost’ / Fire and Explosion Safety, 2018, vol. 27, no. 2-3, pp. 5-13 (in Russian). DOI: 10.18322/PVB.2018.27.02-03.5-13.

20. N. V. Kamenetskaya, O. M. Medvedeva, S. B. Khitov. The objects incoming flow analysis in the queuing systems mathematical modeling. In: Prioritetnyye nauchnyye napravleniya: ot teorii kpraktike [Priority scientific areas: from theory to practice]. Proceeding ofXXXVIII International Scientific-Practical Conference. Novosibirsk, Publishing House of the Central News Service, 2017, pp. 156-162 (in Russian).

21. A. I. Lukin. Sistemy massovogo obsluzhivaniya: analiz sistem massovogo obsluzhivaniya s otkazami v voyennoy praktike [Queuing systems: Analysis of queuing systems with rejections in military practice]. Moscow, Voyenizdat Publ., 1980. 189 p (in Russian).

22. O. A. Novikov, S. I. Petukhov. Prikladnyye voprosy teorii massovogo obsluzhivaniya [Applied questions of queuing theory]. Moscow, Sovetskoye radio Publ., 1969. 400 p (in Russian).

23. H. M. Wagner. Principles of operations research. New Jersey, Prentice-Hall, 1969 (Russ. ed.: H. M. Wagner. Osnovy issledovaniya operatsiy. Moscow, Mir Publ., 1972, vol. 3. 504 p.).