S. Lau, M.J. Willis, G.A. Montague, and J. Glassey (UK)
Scheduling, genetic algorithms, bioprocesses
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.
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