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Predictive scheduling of a bioprocess plant

Lookup NU author(s): Susan Lau, Dr Mark Willis, Professor Gary Montague, Professor Jarka Glassey

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Abstract

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.


Publication metadata

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

Pages: 296-301

Publisher: IASTED

Library holdings: Search Newcastle University Library for this item

ISBN: 0889863725


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