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Optimal planning and campaign scheduling of biopharmaceutical processes using a continuous-time formulation

Vieira, M; Pinto-Varela, T; Moniz, S; Barbosa-Povoa, AP; Papageorgiou, LG; (2016) Optimal planning and campaign scheduling of biopharmaceutical processes using a continuous-time formulation. Computers & Chemical Engineering , 91 pp. 422-444. 10.1016/j.compchemeng.2016.04.009. Green open access

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Abstract

This work addresses the optimal planning and campaign scheduling of biopharmaceutical manufacturing processes, considering multiple operational characteristics, such as the campaign schedule of batch and/or continuous process steps, multiple intermediate deliveries, sequence dependent changeovers operations, product storage restricted to shelf-life limitations, and the track-control of the production/campaign lots due to regulatory policies. A new mixed integer linear programing (MILP) model, based on a Resource Task Network (RTN) continuous time single-grid formulation, is developed to comprise the integration of all these features. The performance of the model features is discussed with the resolution of a set of industrial problems with different data sets and process layouts, demonstrating the wide application of the proposed formulation. It is also performed a comparison with a related literature model, showing the advantages of the continuous-time approach and the generality of our model for the optimal production management of biopharmaceutical processes.

Type: Article
Title: Optimal planning and campaign scheduling of biopharmaceutical processes using a continuous-time formulation
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.compchemeng.2016.04.009
Publisher version: http://doi.org/10.1016/j.compchemeng.2016.04.009
Language: English
Additional information: © 2016 Elsevier Ltd. All rights reserved. This manuscript version is made available under a Creative Commons Attribution Non-commercial Non-derivative 4.0 International license (CC BY-NC-ND 4.0). This license allows you to share, copy, distribute and transmit the work for personal and non-commercial use providing author and publisher attribution is clearly stated. Further details about CC BY licenses are available at http://creativecommons.org/ licenses/by/4.0. Access may be initially restricted by the publisher.
Keywords: Science & Technology, Technology, Computer Science, Interdisciplinary Applications, Engineering, Chemical, Computer Science, Engineering, Biopharmaceutical plants, Planning and campaign scheduling, Optimisation, Mixed integer linear programming, MULTIPURPOSE BATCH PLANTS, OPTIMIZATION, MANUFACTURE, ALGORITHM, UNCERTAINTY, STRATEGIES, FACILITIES
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 Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/1508529
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