The common problem of vectorial optimization in the technological safety management

Keywords: management, management efficiency, technogenic safety, vectorial optimization, principle of optimality, model of vectorial optimization, emergency, risk of personnel.

Abstract

In the work examined: possibility of the use of vectorial optimization at a management technogenic safety; some problem aspects of such use; general issue of vectorial optimization at a management technogenic safety and mathematical formalization of this problem comes true.The marked is caused: by complication and importance of practical problems at military to business, for the decision of that the vehicle of analysis of operations is attracted; by inaccuracy of traditional methods of scalar (onecriterion) optimization at the decision of similar problems; by possibilities of vectorial, multicriterion approach in relation to a search and optimization of administrative decisions at consideration of difficult processes and systems of any nature, including, management technogenic safety.It is set that basic difficulties of decision of vectorial tasks to optimization of decisions in relation to a management technogenic safety are related to the specification of the initial formalized model, with transformation of her to the kind, comfortable for a choice optimal decision. Thus there is a necessity for the decision of three fundamental problems on that the rightness of optimal choice depends in a great deal: choice of principle of optimality; choice of principle of normalization; choice of principle of taking into account of priority.Research results can be drawn on during organization of liquidation of consequences of emergencies of different character and realization of management technogenic safety in the aspect of search of optimal decision of such management, including, during the conduct of operation of Incorporated forces.

Downloads

Download data is not yet available.

Author Biographies

Mykola Chomik, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

Leading Researcher scientific and organizational department Center for Military Strategic research, Candidate of Technical Science (PhD), Senior Researcher

Yevgen Havrylko , National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Department Automation of design of energy processes and systems, Doctor of Engineering Sciences, Professor

References

Abramov O.V., Rosenbaum, A.N. Forecasting the State of Technical Systems. Moscow: Science, 1990. 126 p.

Abramov O.V. Monitoring and forecasting of technical condition of responsible systems. Reliability and quality of complex systems. 2018. № 4 (24). P. 108-115.

Bellman R. Zade L. Making Decisions in Vague Conditions: A Collection of Translations. Moscow: World, 1976. P. 172-215.

Belov of P. G. Zaporozhchenko Yu. F. Sushchnost and methods of forecasting of technogenic risk. Messenger of a kmug. 1999. No1. P. 260-264.

Benkovich E.S. Kolesov Yu. B., Senichenkov Yu. B. Practical modeling of dynamic systems: manual. St. Petersburg, 2002. 464 p.

Buslenko N.P., Kalashnikov V.V., Kovalenko I.N. Lectures on the theory of complex systems. Moscow: Soviet Radio, 1973. 440 p.

Ventzel E.S. Operations Study. Moscow: Soviet Radio, 1972. 552 p.

Vyichujanin V.V., Rudchenko N.D. Technical risks of complex complexes of functionally interconnected structural components of ship power plants. V_snik Odeskogo nats_onalny sea to an un_versitet. 2014. № 2. P.68-77.

Gorban II Probability Theory and Mathematical Statistics for Scientists and Engineers. Kyiv: NANU. IPMMS. 2003. 244 p.

Dubois D., Prad A. Theory of Opportunity. Applications to the presentation of knowledge in computer science. Moscow, 1990. 286 p.

Zaychenko Yu. P. Fuzzy models and methods in intellectual systems: educational manual for students of higher educational institutions. Kiev: Word, 2008. 344 p.

Modeling and optimization of information systems: a textbook / Kravchenko YV and others. Kyiv: DUT, 2019, 312 p.

Sustainable development of inland waterway transport in China (2009). Theme I of a World Bank Project: Comprehensive Transport System Analysis in China. Available from: http://siteresources.world bank.org/EXTPRAL/Resources/china.pdf (date of appeal 02.01.2020).

Yager, R. and D. Filev, "Generation of Fuzzy Rules by Mountain Clustering," Journal of Intelligent & Fuzzy Systems, 1994, Vol. 2, No. 3, P. 209-219.

Lisowski J. Game control methods in navigator decision support system / The Archives of Transport. 2005. No 3-4, Vol. XVII. Р. 133 –147.

Reform in the inland water transport: China’s experience. Available from: https://www. unescap.org/our-work/ transport (date of appeal 12.12.2019).


Abstract views: 290
PDF Downloads: 219
Published
2020-02-29
How to Cite
Chomik, M., & Havrylko , Y. (2020). The common problem of vectorial optimization in the technological safety management. Social Development and Security, 10(1), 171-176. https://doi.org/10.33445/sds.2020.10.1.17
Section
Articles