Testing of a model for distributing control (supervisory) activities among employees of federal state fire supervision authorities in modern conditions

Introduction. The paper analyzes the changes in legislation that affect the algorithms for conducting control (supervisory) activities by inspectors of the Federal State Fire Supervision (hereinafter referred to as FSFS). The paper updates the list of operations performed by inspectors and conducts a survey of a representative selection of employees to assess the changes in labour costs associated with these operations. The paper also evaluates the impact of changes in labour costs on the performance of major operations and their individual components, taking into account the personal factors of employees. The obtained results were used to test the model of CSA distribution among employees of the Federal State Fire Supervision.

Goals and objectives. The purpose of the study is to test the applicability of the model of distribution of CSA between employees of the FSFS bodies, depending on their personal factors, which allows to optimize the overall structure of labour costs. The objectives of the study are to analyze changes in legislation in the field of organization and conduct of CSA, to develop their updated algorithms, to update data on labour costs for performing operations and their dependencies on the personal factors of inspectors.

Materials and methods. To solve this problem, we used traditional document analysis, decomposition, and statistical analysis (variance and correlation analysis).

Results and their discussion. In the course of the study, the algorithms of individual operations performed by the inspectors of the FSFS, as well as information on the labour costs for their implementation, were updated. Statistically significant differences in labour costs were identified between the inspectorate of different groups in terms of the length of service in the supervisory activities. The existence of a dependence of the performance of individual functions on the length of service of employees was confirmed. A mathematical model was developed to optimize the distribution of planned CSA in relation to the protection of various risk categories between the inspectorate, depending on the length of service of the inspector.

Conclusions. The proposed distribution allows for the optimization of labour costs for the large-scale operation “Inspection”, as well as for the practical transfer of experience between employees of supervisory activities. A comparative analysis of data obtained in 2021 based on similar studies was conducted. It was found that the proposed model for optimizing the distribution of CSA is universal and corresponds to the logical distribution of the number of inspectors by type of facility.

1. Yuzhakov V.N., Dobrolyubova E.I., Spiridonov A.A. Methodological approaches to the assessment of state control and inspection system by the citizens as its beneficiaries. RUDN Journal of Sociology. 2019; 19(2):337-351. DOI: 10.22363/2313-2272-2019-19-2-337-351. EDN ZERFZZ. (rus).

2. Pečarič M. The Effects of Law Through Actions of Inspections. Central European Public Administration Review. 2017; 15(3-4):129-144. DOI: 10.17573/ipar.2017.3-4.06

3. Blank F. Inspection reforms: why, how, and with what results. Paris, OECD Publishing, 2012; 91. URL: https://pdf4pro.com/file/262f7/regreform_Inspection_reforms___web__F._Blanc.pdf.pdf

4. Maslennikova E.V., Dobrolyubova E.I. Reform of control and supervision activities: results from the perspective of citizens and according to statistical reporting. The Authority. 2021; 29(2):170-179. DOI: 10.31171/vlast.v29i2.8040. EDN JHBBOY. (rus).

5. Rybin O.A., Kozlov A.A., Kozlov T.A. About problem definition of designing of organizational structures of management systems of state fire supervision. Technology of technosphere safety. 2015; 5(63):311-318. EDN WCLCTD. (rus).

6. Poroshin A.A., Kozyrev E.V., Petrova O.V., Sorokin V.A. About technique of justification of number of inspection structure of organs of the state fire supervision. Technology of technosphere safety. 2017; 2(72):209-214. EDN ZDRKUT. (rus).

7. Repin S.V., Lahvicky G.N. On the development of a method for determining actual labor costs and a description of a simplified mathematical model for determining the number of supervisory authorities of the Ministry of Emergency Situations of Russia. Vestnik of Perm Natiomal Research Polytechnic University. Electrotechnics, Informational Technologies, Control Systems. 2021; 39:169-188. DOI: 10.15593/2224-9397/2021.3.09. EDN AZLDPC. (rus).

8. Voronin S.A., Lakhvitsky G.N., Repin S.V., Satin A.P. Using the expert estimation method in assessing labor costs of the state fire supervision personnel. Fire and Emergencies: Prevention, Elimination. 2023; 1:78-88. DOI: 10.25257/FE.2023.1.78-88. EDN XYLEEW. (rus).

9. Poroshin A.A., Kozyrev E.V., Sorokin V.A., Zobkov D.V., Ryzhikov A.I. Algorithm for making decisions on carrying out unscheduled control and supervisory activities in the implementation of federal state fire supervision. Current fire safety issues : Proceedings of the XXXVI International Scientific and Practical Conference dedicated to the 375th Anniversary of the Russian Fire Service. Moscow, All-Russian Research Institute of Fire Defense, Ministry of EMERCOM, 2024; 10-14. EDN TYBJJX. (rus).

10. Martyanov I.S., Byzov A.P., Andreev A.V. Modeling the algorithm for passing state fire supervision in the Russian Federation. Technical and technological problems of service. 2018; 1(43):48-52. EDN YXPGOX. (rus).

11. Plaksin S.M., Abuzyarova I.A., Kashanin A.V., Knutov A.V., Poleskiy E.A., Sakaev A.Sh. et al. Control, supervisory, and permitting activities in the Russian Federation : analytical report 2019. Russian Union of Industrialists and Entrepreneurs; National Research University Higher School of Economics. Moscow, National Research University Higher School of Economics, 2020; 138. URL: https://knd.ac.gov.ru/wp-content/uploads/2020/07/dokladKND-2019.pdf (rus).

12. Krasuski A., Pecio M. Application of an Integrated Risk Assessment Software to Quantify the Life Safety Risk in Building during a Fire : MATEC Web Conferences 247.00011. Fire and Environmental Safety Engineering. 2018. DOI: 10.1051/matecconf/201824700011

13. Blanc F., Macrae D., Ottimofiore G. Understanding and addressing the Risk Regulation Reflex. Lessons from international experience in dealing with risk, responsibility and regulation. Prepared for the Dutch Risk and Responsibility Program. 2015; 94. URL: https://www.researchgate.net/publication/276949964_Understanding_and_addressing_the_Risk_Regulation_Reflex

14. Lakhvitsky G.N., Chumachenko A.P., Voronin G.L., Repin S.V. Analysis of factors influencing the labor costs of the state inspector for fire supervision. Scientific and educational tasks of civil defence. 2022; 3(54):28-40. EDN UIQTWP. (rus).

15. Yurkin G.Yu., Proskova N.Yu., Malyshenko V.A. On the Problems of Implementing the Federal Information System “Unified Register of Control (Supervisory) Measures” in the Activities of Supervisory Authorities of Russia. Actual Problems of Ensuring Fire Safety and Protection from Emergencies : Collection of Materials of the All-Russian Scientific and Practical Conference. Zheleznogorsk, Federal State Budgetary Educational Institution of Higher Education “Siberian Fire and Rescue Academy” of the State Fire Service of the Ministry of the Russian Federation for Civil Defense, Emergencies and Elimination of Natural Disasters”, 2022; 61-64. EDN VKXLLR. (rus).

16. Luga Jr.M.S., Arden B.K.R., Paray R., Peralta A.O., Velasco B.O., Zapanta Y.J.S. et al. Fire response through Safety Management System from Bureau of Fire Protection’s Perspective. International Journal of Research and Innovation in Applied Science. 2025; X(VII):1182-1187. DOI: 10.51584/IJRIAS.2025.100700108. EDN RCFYEM.

17. Churikov A.V. Basics of Sampling for Sociological Research. Moscow, Institute of the Public Opinion Foundation, 2020; 240. URL: https://media.fom.ru/fom-static/BookSamples.pdf (rus).

18. Lakhvitsky G.N., Pavlikova M.D., Burlachenko K.G., Repin S.V. Analysis of personal factors influencing the labor costs of employees of the supervisory activities of the Ministry of Emergency Situations of Russia. Models, systems, networks in economics, engineering, nature and society. 2022; 4(44):138-149. DOI: 10.21685/2227-8486-2022-4-9. EDN WHLVIE. (rus).

19. Berezin V.V. The use of correlation and regression analysis for elaborating norms of work. Human Progress. 2016; 2(9):1. EDN WZKRYV. (rus).

20. Bavrina A.P., Borisov I.B. Modern rules for the application of correlation analysis. Medical Almanac. 2021; 3(68):70-79. EDN TPSSIX. (rus).