Imperial College London
Alternate

Professor Nilay Shah OBE FREng

Faculty of Engineering, Department of Chemical Engineering

Professor of Process Systems Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6621n.shah

 
 
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Assistant

 

Miss Jessica Baldock +44 (0)20 7594 5699

 
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Location

 

ACEX 522ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Kusumo:2021:10.1016/j.ifacol.2021.08.222,
author = {Kusumo, KP and Morrissey, J and Mitchell, H and Shah, N and Chachuat, B},
doi = {10.1016/j.ifacol.2021.08.222},
pages = {79--84},
publisher = {Elsevier},
title = {A design centering methodology for probabilistic design space},
url = {http://dx.doi.org/10.1016/j.ifacol.2021.08.222},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - The use of mathematical models for design space characterization has become commonplace in pharmaceutical quality-by-design, providing a systematic risk-based approach to assurance of quality. This paper presents a methodology to complement sampling algorithms by computing the largest box inscribed within a given probabilistic design space at a desired reliability level. Such an encoding of the samples yields an operational envelope that can be conveniently communicated to process operators as independent ranges in process parameters. The first step involves training a feed-forward multi-layer perceptron as a surrogate of the sampled probability map. This surrogate is then embedded into a design centering problem, formulated as a semi-infinite program and solved using a cutting-plane algorithm. Effectiveness and computational tractability are demonstrated on the case study of a batch reactor with two critical process parameters.
AU  - Kusumo,KP
AU  - Morrissey,J
AU  - Mitchell,H
AU  - Shah,N
AU  - Chachuat,B
DO  - 10.1016/j.ifacol.2021.08.222
EP  - 84
PB  - Elsevier
PY  - 2021///
SN  - 2405-8963
SP  - 79
TI  - A design centering methodology for probabilistic design space
UR  - http://dx.doi.org/10.1016/j.ifacol.2021.08.222
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000694048400015&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.sciencedirect.com/science/article/pii/S2405896321009939?via%3Dihub
UR  - http://hdl.handle.net/10044/1/93886
ER  -
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