## Stochastic Optimization for Operating Chemical Processes Under Uncertainty

Please always quote using this URN: urn:nbn:de:0297-zib-6304

- Mathematical optimization techniques are on their way to becoming a standard tool in chemical process engineering. While such approaches are usually based on deterministic models, uncertainties such as external disturbances play a significant role in many real-life applications. The present article gives an introduction to practical issues of process operation and to basic mathematical concepts required for the explicit treatment of uncertainties by stochastic optimization.