Quality costs and robustness criteria in chemical process design optimization
Autor(a) principal: | |
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Data de Publicação: | 2001 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/3828 https://doi.org/10.1016/S0098-1354(00)00630-X |
Resumo: | The identification and incorporation of quality costs and robustness criteria is becoming a critical issue while addressing chemical process design problems under uncertainty. This article presents a systematic design framework that includes Taguchi loss functions and other robustness criteria within a single-level stochastic optimization formulation, with expected values in the presence of uncertainty being estimated by an efficient cubature technique. The solution obtained defines an optimal design, together with a robust operating policy that maximizes average process performance. Two process engineering examples (synthesis and design of a separation system and design of a reactor and heat exchanger plant) illustrate the potential of the proposed design framework. Different quality cost models and robustness criteria are considered, and their influence in the nature and location of best designs systematically studied. This analysis reinforces the need for carefully considering/addressing process quality and robustness related criteria while performing chemical process plant design. |
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Quality costs and robustness criteria in chemical process design optimizationRobust designUncertaintyQuality engineeringStochastic optimizationThe identification and incorporation of quality costs and robustness criteria is becoming a critical issue while addressing chemical process design problems under uncertainty. This article presents a systematic design framework that includes Taguchi loss functions and other robustness criteria within a single-level stochastic optimization formulation, with expected values in the presence of uncertainty being estimated by an efficient cubature technique. The solution obtained defines an optimal design, together with a robust operating policy that maximizes average process performance. Two process engineering examples (synthesis and design of a separation system and design of a reactor and heat exchanger plant) illustrate the potential of the proposed design framework. Different quality cost models and robustness criteria are considered, and their influence in the nature and location of best designs systematically studied. This analysis reinforces the need for carefully considering/addressing process quality and robustness related criteria while performing chemical process plant design.http://www.sciencedirect.com/science/article/B6TFT-4292GMD-4/1/407d80598ce29b51434c5bbbe89e23402001info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleaplication/PDFhttp://hdl.handle.net/10316/3828http://hdl.handle.net/10316/3828https://doi.org/10.1016/S0098-1354(00)00630-XengComputers & Chemical Engineering. 25:1 (2001) 27-40Bernardo, Fernando P.Pistikopoulos, Efstratios N.Saraiva, Pedro M.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2021-10-12T12:25:00Zoai:estudogeral.uc.pt:10316/3828Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:59:16.358108Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Quality costs and robustness criteria in chemical process design optimization |
title |
Quality costs and robustness criteria in chemical process design optimization |
spellingShingle |
Quality costs and robustness criteria in chemical process design optimization Bernardo, Fernando P. Robust design Uncertainty Quality engineering Stochastic optimization |
title_short |
Quality costs and robustness criteria in chemical process design optimization |
title_full |
Quality costs and robustness criteria in chemical process design optimization |
title_fullStr |
Quality costs and robustness criteria in chemical process design optimization |
title_full_unstemmed |
Quality costs and robustness criteria in chemical process design optimization |
title_sort |
Quality costs and robustness criteria in chemical process design optimization |
author |
Bernardo, Fernando P. |
author_facet |
Bernardo, Fernando P. Pistikopoulos, Efstratios N. Saraiva, Pedro M. |
author_role |
author |
author2 |
Pistikopoulos, Efstratios N. Saraiva, Pedro M. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Bernardo, Fernando P. Pistikopoulos, Efstratios N. Saraiva, Pedro M. |
dc.subject.por.fl_str_mv |
Robust design Uncertainty Quality engineering Stochastic optimization |
topic |
Robust design Uncertainty Quality engineering Stochastic optimization |
description |
The identification and incorporation of quality costs and robustness criteria is becoming a critical issue while addressing chemical process design problems under uncertainty. This article presents a systematic design framework that includes Taguchi loss functions and other robustness criteria within a single-level stochastic optimization formulation, with expected values in the presence of uncertainty being estimated by an efficient cubature technique. The solution obtained defines an optimal design, together with a robust operating policy that maximizes average process performance. Two process engineering examples (synthesis and design of a separation system and design of a reactor and heat exchanger plant) illustrate the potential of the proposed design framework. Different quality cost models and robustness criteria are considered, and their influence in the nature and location of best designs systematically studied. This analysis reinforces the need for carefully considering/addressing process quality and robustness related criteria while performing chemical process plant design. |
publishDate |
2001 |
dc.date.none.fl_str_mv |
2001 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/3828 http://hdl.handle.net/10316/3828 https://doi.org/10.1016/S0098-1354(00)00630-X |
url |
http://hdl.handle.net/10316/3828 https://doi.org/10.1016/S0098-1354(00)00630-X |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Computers & Chemical Engineering. 25:1 (2001) 27-40 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
aplication/PDF |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799133883661287424 |