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A platform for research: civil engineering, architecture and urbanism
Aggregated Scheduling of a Multiproduct Batch Plant by Two-Stage Stochastic Integer Programming
Abstract 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.
Aggregated Scheduling of a Multiproduct Batch Plant by Two-Stage Stochastic Integer Programming
Abstract 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.
Aggregated Scheduling of a Multiproduct Batch Plant by Two-Stage Stochastic Integer Programming
Engell, Sebastian (author) / Märkert, Andreas (author) / Sand, Guido (author) / Schultz, Rüdiger (author)
2004
Article (Journal)
English
Aggregated Scheduling of a Multiproduct Batch Plant by Two-Stage Stochastic Integer Programming
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