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A shortcut approach for decision-making and operational analysis of an integrated end-to-end continuous pharmaceutical process

conference contribution
posted on 12.12.2018 by Seyed Soheil Mansouri, Isuru A. Udugama, Jakob K. Huusom, Krist V. Gernaey, Brahim Benyahia
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.

Funding

The project received financial support from Innovation Fund Denmark through the BIOPRO2 strategic research center (Grant number 4105-00020B).

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Chemical Engineering

Published in

Computer Aided Chemical Engineering

Volume

44

Pages

2107 - 2112

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.

Publisher

© Elsevier

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2018-08-02

Notes

This conference paper is closed access.

ISBN

9780444642417

ISSN

1570-7946

Book series

Computer Aided Chemical Engineering;44

Language

en

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