In this section
@inproceedings{Mowbray:2024:10.1016/j.ifacol.2024.08.339,
author = {Mowbray, M and Kontoravdi, C and Shah, N and Chachuat, B},
doi = {10.1016/j.ifacol.2024.08.339},
pages = {216--221},
publisher = {Elsevier BV},
title = {A decomposition approach to characterizing feasibility in acyclic multi-unit processes},
url = {http://dx.doi.org/10.1016/j.ifacol.2024.08.339},
year = {2024}
}
TY - CPAPER
AB - The ability to certify feasibility in process design and process operations is crucial in many applications. This includes quality-by-design in pharmaceutical manufacturing, where a key element is the characterization of the design space to better understand the links between materials, processes and products. Sampling-based approaches are versatile but they are cursed by dimensionality, which currently limits their application to problems in a few process variables only. We propose a decomposition approach that enables feasibility characterization for nominal settings of uncertain parameters in acyclic multi-unit processes by sampling. Our methodology leverages problem structure to decompose unit-wise, and deploys surrogate models to couple the resultant subproblems. We demonstrate it on a serial, batch chemical reactor network. In future research, we will extend this framework to cyclic multi-unit processes and the presence of parameter uncertainty.
AU - Mowbray,M
AU - Kontoravdi,C
AU - Shah,N
AU - Chachuat,B
DO - 10.1016/j.ifacol.2024.08.339
EP - 221
PB - Elsevier BV
PY - 2024///
SN - 2405-8963
SP - 216
TI - A decomposition approach to characterizing feasibility in acyclic multi-unit processes
UR - http://dx.doi.org/10.1016/j.ifacol.2024.08.339
ER -