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Prediction and Optimization of System Quality and Risks on the Base of Modelling Processes

Journal: American Journal of Operations Research
ISSN 2160-8830

Volume: 03;
Issue: 01;
Start page: 217;
Date: 2013;
Original page

Keywords: Analysis; Model; Quality; Prediction; Reliability; Risk | Safety; Software Tools; System Engineering

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”.
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Tango Rapperswil
Tango Rapperswil