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Prediction and Optimization of System Quality and Risks on the Base of Modelling Processes
Research Institute of Applied Mathematics and Certification, Moscow, Russia
Gubkin Russian State University of Oil and Gas, Moscow, Russia
Research Institute of Applied Mathematics and Certification, Moscow, Russia
Institute of Informatic Problems of the Russian Academy of Sciences, Moscow, Russia
Scientific&Technical Center “NAOPRO”, Moscow, Russia
- 1 Research Institute of Applied Mathematics and Certification, Moscow, Russia
- 2 Gubkin Russian State University of Oil and Gas, Moscow, Russia
- 3 Research Institute of Applied Mathematics and Certification, Moscow, Russia
- 4 Institute of Informatic Problems of the Russian Academy of Sciences, Moscow, Russia
- 5 Scientific&Technical Center “NAOPRO”, Moscow, Russia
American Journal of Operations Research·Volume 03 (2013)·Pages 217–244·Published 30 January 2013·DOI10.4236/ajor.2013.31A021
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Abstract
The paper is concerned with the development and application of the original probability models and supporting them software tools to predict and optimize quality and risks for complex systems. The examples demonstrate possibilities to use modeling results from different application spheres and to go in making decision “from a pragmatical filtration of information to generation of the proved ideas and effective decisions”.
KeywordsAnalysisModelQualityPredictionReliabilityRiskSafetySoftware ToolsSystem Engineering
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