Lookup NU author(s): Susan Lau,
Dr Mark Willis,
Professor Gary Montague,
Professor Jarka Glassey
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This paper considers the development of strategies for the optimisation of a complex bioprocessing plant. The process optimisation requires the appropriate schedule of batches to be specified to feed a continuous downstream processing plant. Biological variability leads to process variations, as a result modifications to the schedule are required. In this paper a genetic algorithm is used to solve the reactive/predictive scheduling problem. Results demonstrate that the predictive scheduling framework could result in around 10% increase in production and as a result would deliver major financial benefits.
Author(s): Lau S, Willis MJ, Montague GA, Glassey J
Editor(s): Hamza M.H.
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Proceedings of the IASTED International Conference on Modelling, Simulation and Optimatization
Year of Conference: 2003
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