Optimal planning and campaign scheduling of biopharmaceutical processes using a continuous-time formulation |
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Affiliation: | 1. Dept. of Biochemical Engineering, University College London, London WC1E 7JE, UK;2. Dept. of Chemical Engineering, University College London, London WC1E 7JE, UK |
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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. |
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Keywords: | Biopharmaceutical plants Planning and campaign scheduling Optimisation Mixed integer linear programming |
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