Stochastic Optimization for Operating Chemical Processes under Uncertainty

  • René Henrion
  • Pu Li
  • Andris Möller
  • Marc C. Steinbach
  • Moritz Wendt
  • Günter Wozny


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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • René Henrion
    • 1
  • Pu Li
    • 2
  • Andris Möller
    • 1
  • Marc C. Steinbach
    • 3
  • Moritz Wendt
    • 2
  • Günter Wozny
    • 2
  1. 1.Weierstraß-Institut für Angewandte Analysis und Stochastik (WIAS)BerlinGermany
  2. 2.Institut für Prozess- und AnlagentechnikTechnische Universität BerlinGermany
  3. 3.Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB)Germany

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