The paper reviews past progress in the development of methods and models for process
safety and risk management and highlights the present research trends; also it outlines the …

We have developed a stochastic mathematical formulation for designing a network of multi-
product supply chains comprising several capacitated production facilities, distribution …

In a quantitative model with uncertain inputs, the uncertainty of the output can be
summarized by a risk measure. We propose a sensitivity analysis method based on …

Active brake control systems are able to use more accurate control designs on the real-time
knowledge of wheel slip such as tire braking forces and external momentums. A multi …

The notion of residual estimation risk is introduced to quantify the impact of parameter
uncertainty on capital adequacy, for a given risk measure and capital estimation procedure …

Uncertainty is a pervasive challenge in decision analysis, and decision theory recognizes
two classes of solutions: probabilistic models and cognitive heuristics. However, engineers …

Accurate estimation of value-at-risk (VaR) and assessment of associated uncertainty is
crucial for both insurers and regulators, particularly in Europe. Existing approaches link data …

For risk capital calculation within the framework of Solvency II the possible loss of basic own
funds over the next business year of an insurance undertaking is usually interpreted as a …

Background Uncertainty poses a pervasive challenge in decision analysis and risk
management. When the problem is poorly understood, probabilistic estimation exhibits high …

The required solvency capital for a financial portfolio is typically given by a tail risk measure
such as Value-at-Risk. Estimating the value of that risk measure from a limited, often small …