Abstract
Our purpose is to indicate how optimization concepts and techniques can be combined with probabilistic risk analysis to structure and solve risk management problems. Cost-optimal and risk-minimizing models are formulated in both deterministic and stochastic settings: the approach proposed is illustrated by several examples.