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Integration of scheduling, design, and control of multiproduct chemical processes under uncertainty
Author(s) -
Patil Bhushan P.,
Maia Eduardo,
RicardezSandoval Luis A.
Publication year - 2015
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.14833
Subject(s) - scheduling (production processes) , computer science , nonlinear system , industrial engineering , stability (learning theory) , chemical process , operations research , mathematical optimization , biochemical engineering , engineering , mathematics , machine learning , physics , quantum mechanics , chemical engineering
The development of a methodology that addresses the simultaneous design, scheduling, and control of multiproduct processes is focused. The proposed methodology takes into account the influence of disturbances by the identification of their critical frequency, which is used to quantify the worst‐case variability in the controlled variables via frequency response analysis. The uncertainty in the demands of products has also been addressed by creating critical demand scenarios with different probabilities of occurrence, while the nominal stability of the system has been ensured. Two case studies have been developed as applications of the methodology. The first case study focuses on the comparison of classical semisequential approach against the simultaneous methodology developed, while the second case study demonstrates the capability of the methodology in application to a large‐scale nonlinear system. © 2015 American Institute of Chemical Engineers AIChE J , 61: 2456–2470, 2015