Scheduling of a multiproduct batch plant by two-stage stochastic integer programming

GND
172063205
Affiliation
Department of Chemical Engineering, University of Dortmund, Emil-Figge-Str. 70, D-44221 Dortmund, Germany
Engell, Sebastian;
GND
129095346
Affiliation
Institute of Mathematics, Gerhard-Mercator-University Duisburg, Lotharstr. 65, D-47057 Duisburg, Germany
Märkert, Andreas;
GND
128701773
Affiliation
Department of Chemical Engineering, University of Dortmund, Emil-Figge-Str. 70, D-44221 Dortmund, Germany
Sand, Guido;
GND
171175271
LSF
1185
Affiliation
Institute of Mathematics, Gerhard-Mercator-University Duisburg, Lotharstr. 65, D-47057 Duisburg, Germany
Schultz, Rüdiger

We consider the mid-term scheduling of a multiproduct batch plant. Market requirements for the final products are uncertain but given in terms of a probability distribution. We introduce a two-stage stochastic integer programming model for the problem and solve it by a scenario decomposition method based on Lagrangian relaxation. We describe heuristics and preprocessing for both the single- and the multi-scenario models. Preliminary computational results are presented.

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