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Title: A shortcut approach for decision-making and operational analysis of an integrated end-to-end continuous pharmaceutical process
Authors: Mansouri, Seyed Soheil
Udugama, Isuru A.
Huusom, Jakob K.
Gernaey, Krist V.
Benyahia, Brahim
Keywords: Decision-making
Layer of protection analysis (LOPA)
NPV
Issue Date: 2018
Publisher: © Elsevier
Citation: MANSOURI, S.S. ... et al, 2018. A shortcut approach for decision-making and operational analysis of an integrated end-to-end continuous pharmaceutical process. IN: Eden, M.R., Ierapetritou, M.G. and Towler, G.P. (eds). 13th International Symposium on Process Systems Engineering (PSE 2018), San Diego, California, USA, 1-5 July 2018, pp.2107-2112.
Series/Report no.: Computer Aided Chemical Engineering;44
Abstract: In this work, a plant-wide model-based shortcut approach for decision-making and operational analysis of integrated end-to-end continuous pharmaceutical processes is developed and tested. The proposed hierarchical approach is implemented through a computer-aided framework. Using concepts of Layer of Protection Analysis (LOPA) combined with Net Present Value (NPV) are embedded in the framework from a model-based point of view to comprehensively assess the overall benefits of a specific operational point. This in turn can be used to make an informed decision between competing operation alternatives. The application of the framework is demonstrated through a validated dynamic process model of an integrated end-to-end continuous pharmaceutical pilot plant. In this application, the implications of changing process operations from single pass operation to raw material recycling have been investigated.
Description: This conference paper is closed access.
Sponsor: The project received financial support from Innovation Fund Denmark through the BIOPRO2 strategic research center (Grant number 4105-00020B).
Version: Accepted for publication
DOI: 10.1016/B978-0-444-64241-7.50346-3
URI: https://dspace.lboro.ac.uk/2134/36404
Publisher Link: https://doi.org/10.1016/B978-0-444-64241-7.50346-3
ISBN: 9780444642417
ISSN: 1570-7946
Appears in Collections:Closed Access (Chemical Engineering)

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