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Proceedings Paper

Model for the analysis and optimization of the efficiency and survivability of an enterprise based on optimal aggregation methodology
Author(s): Taisa M. Borovska; Irina S. Bevz; Irina S. Kolesnyk; Victor A. Severilov; Oleksandr V. Kobylianskyi; Konrad Gromaszek; Saule Rakhmetullina
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Paper Abstract

Development of mathematical models for the analysis and synthesis of optimal management of an enterprise, with the account of the requirements of efficiency and survivability criteria, was performed. A single resource approach was used to develop models for an enterprise operation in nominal and non-nominal conditions – in the event of subsystems failures. The survivability functions are developed – the dependences of the enterprise efficiency losses on the cost of the failure configuration. The tasks of the enterprise optimization are identified: – minimization of survivability functions on the set of failure configurations due to the search for rational structures of the subsystems, and – maximization of the efficiency function in nominal and non-nominal operation modes. The method of optimal aggregation was used. The results of research on models are presented.

Paper Details

Date Published: 1 October 2018
PDF: 8 pages
Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 1080824 (1 October 2018); doi: 10.1117/12.2501534
Show Author Affiliations
Taisa M. Borovska, Vinnytsia National Technical Univ. (Ukraine)
Irina S. Bevz, Vinnytsia National Technical Univ. (Ukraine)
Irina S. Kolesnyk, Vinnytsia National Technical Univ. (Ukraine)
Victor A. Severilov, Vinnytsia National Technical Univ. (Ukraine)
Oleksandr V. Kobylianskyi, Vinnytsia National Technical Univ. (Ukraine)
Konrad Gromaszek, Lublin Univ. of Technology (Poland)
Saule Rakhmetullina, D. Serikbayev East Kazakhstan State Technical Univ. (Kazakhstan)

Published in SPIE Proceedings Vol. 10808:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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