Risks Prediction and Processes Optimization for Complex Systems on the Base of Probabilistic Modeling

DOI

10.2991/amsm-16.2016.43How to use a DOI?

Keywords

model; optimization; probability; quality; resources; risk; system; technology

Abstract

The probabilistic models and methods for risk prediction and processes optimization, considering characteristics of threats, the measures of control, monitoring and recovery for complex system are proposed. The way of generating new models to increase an accuracy of probabilistic modeling is described. Examples of applications cover detailed studying "human factor", some infrastructure, description of problems for risk analysis and optimization, implementation in the Complex of supporting technogenic safety on the objects of oil & gas distribution. The research is supported by the Russian Scientific Fund.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - A. Kostogryzov
AU  - P. Stepanov
AU  - A. Nistratov
AU  - G. Nistratov
AU  - O. Atakishchev
AU  - V. Kiselev
PY  - 2016/05
DA  - 2016/05
TI  - Risks Prediction and Processes Optimization for Complex Systems on the Base of Probabilistic Modeling
BT  - Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling
PB  - Atlantis Press
SP  - 186
EP  - 192
SN  - 2352-538X
UR  - https://doi.org/10.2991/amsm-16.2016.43
DO  - 10.2991/amsm-16.2016.43
ID  - Kostogryzov2016/05
ER  -