Oyebolu, FB;
Allmendinger, R;
Farid, SS;
Branke, J;
(2019)
Dynamic scheduling of multi-product continuous biopharmaceutical facilities: A hyper-heuristic framework.
Computers and Chemical Engineering
, 125
pp. 71-88.
10.1016/j.compchemeng.2019.03.002.
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Abstract
The biopharmaceutical industry is increasingly interested in moving from batch to semi-continuous manufacturing processes. These continuous bioprocesses are more failure-prone and process failure is more consequential. In addition, the probability of failure is dependent on process run time which generally is determined independent of scheduling considerations. This work presents a discrete-event simulation of continuous bioprocesses in a scheduling environment. Dynamic scheduling policies are investigated to make operational decisions in a multi-product manufacturing facility and react to process failure events and uncertain demand. First, different scheduling policies are adapted from the stochastic lot sizing literature and a novel look-ahead scheduling policy is proposed. Then, policy parameters (including process run time) are tuned using evolutionary algorithms. Our results demonstrate that the tuned policies perform much better than a policy that estimates policy parameters based on service level considerations and a policy based on a fixed cyclical sequence.
| Type: | Article |
|---|---|
| Title: | Dynamic scheduling of multi-product continuous biopharmaceutical facilities: A hyper-heuristic framework |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.compchemeng.2019.03.002 |
| Publisher version: | https://doi.org/10.1016/j.compchemeng.2019.03.002 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Stochastic economic lot scheduling problem, Hyper-heuristics, Biopharmaceutical manufacture, Perfusion, Simulation optimisation, Machine failure |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Biochemical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10076496 |
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