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.
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Engell, S., Märkert, A., Sand, G. et al. Aggregated Scheduling of a Multiproduct Batch Plant by Two-Stage Stochastic Integer Programming. Optimization and Engineering 5, 335–359 (2004). https://doi.org/10.1023/B:OPTE.0000038890.51798.5a
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DOI: https://doi.org/10.1023/B:OPTE.0000038890.51798.5a