Paper
1 October 2018 Model for the analysis and optimization of the efficiency and survivability of an enterprise based on optimal aggregation methodology
Taisa M. Borovska, Irina S. Bevz, Irina S. Kolesnyk, Victor A. Severilov, Oleksandr V. Kobylianskyi, Konrad Gromaszek, Saule Rakhmetullina
Author Affiliations +
Proceedings Volume 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018; 1080824 (2018) https://doi.org/10.1117/12.2501534
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 2018, Wilga, Poland
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Taisa M. Borovska, Irina S. Bevz, Irina S. Kolesnyk, Victor A. Severilov, Oleksandr V. Kobylianskyi, Konrad Gromaszek, and Saule Rakhmetullina "Model for the analysis and optimization of the efficiency and survivability of an enterprise based on optimal aggregation methodology", Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 1080824 (1 October 2018); https://doi.org/10.1117/12.2501534
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KEYWORDS
Mathematical modeling

Picosecond phenomena

Systems modeling

Reliability

Integrated modeling

Matrices

Optimization (mathematics)

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