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

by Engell, Sebastian; Märkert, Andreas; Sand, Guido; Schultz, Rüdiger

Abstract (Summary)
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.
Bibliographical Information:

Advisor:Engell, Sebastian

School:Universität Duisburg-Essen, Standort Essen

School Location:Germany

Source Type:Master's Thesis

Keywords:mathematik gerhard mercator universitaet


Date of Publication:05/24/2002

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