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Risk assessment for the design and scheduling optimization of periodic multipurpose batch plants under demand uncertainty

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Resumo:The aim of the present work is to provide an integrated decision support approach for the design and scheduling of multipurpose batch plants under demand uncertainty allowing the assessment of alternative risk profile solutions. Based on two-stage mixed integer linear programming (MILP) model, the goal is to maximize the annualized profit of the plant operation under a set of scenarios while minimizing the associated financial risk, evaluated by the Conditional Value at Risk (CVaR) using the augmented ε-constraint method. Considering a literature example, the conclusions highlight the advantages of the proposed approach for the decision-support in industrial plant design and scheduling solutions by considering the explicit risk measure assessment towards expected financial outcomes.
Autores principais:Vieira, Miguel
Outros Autores:Paulo, Helena; Vilard, Corentin; Pinto-Varela, Tânia; Povoa, Ana
Assunto:Multipurpose batch plants Risk assessment Conditional value-at-risk Stochastic programming Augmented ε-constraint method
Ano:2018
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso restrito
Instituição associada:Instituto Politécnico de Lisboa
Idioma:inglês
Origem:Repositório Científico do Instituto Politécnico de Lisboa
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author Vieira, Miguel
author2 Paulo, Helena
Vilard, Corentin
Pinto-Varela, Tânia
Povoa, Ana
author2_role author
author
author
author
author_facet Vieira, Miguel
Paulo, Helena
Vilard, Corentin
Pinto-Varela, Tânia
Povoa, Ana
author_role author
contributor_name_str_mv RCIPL
country_str PT
creators_json_txt [{\"Person.name\":\"Vieira, Miguel\"},{\"Person.name\":\"Paulo, Helena\",\"Person.identifier.orcid\":\"0000-0002-3339-2157\"},{\"Person.name\":\"Vilard, Corentin\"},{\"Person.name\":\"Pinto-Varela, Tânia\",\"Person.identifier.orcid\":\"0000-0002-4605-7083\"},{\"Person.name\":\"Povoa, Ana\",\"Person.identifier.orcid\":\"0000-0001-6594-9653\"}]
datacite.contributors.contributor.contributorName.fl_str_mv RCIPL
datacite.creators.creator.creatorName.fl_str_mv Vieira, Miguel
Paulo, Helena
Vilard, Corentin
Pinto-Varela, Tânia
Povoa, Ana
datacite.date.Accepted.fl_str_mv 2018-07-01T00:00:00Z
datacite.date.available.fl_str_mv 2018-07-30T10:06:56Z
datacite.date.embargoed.fl_str_mv 2018-07-30T10:06:56Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_16ec
datacite.subjects.subject.fl_str_mv Multipurpose batch plants
Risk assessment
Conditional value-at-risk
Stochastic programming
Augmented ε-constraint method
datacite.titles.title.fl_str_mv Risk assessment for the design and scheduling optimization of periodic multipurpose batch plants under demand uncertainty
dc.contributor.none.fl_str_mv RCIPL
dc.creator.none.fl_str_mv Vieira, Miguel
Paulo, Helena
Vilard, Corentin
Pinto-Varela, Tânia
Povoa, Ana
dc.date.Accepted.fl_str_mv 2018-07-01T00:00:00Z
dc.date.available.fl_str_mv 2018-07-30T10:06:56Z
dc.date.embargoed.fl_str_mv 2018-07-30T10:06:56Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10400.21/8719
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Elsevier
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.subject.none.fl_str_mv Multipurpose batch plants
Risk assessment
Conditional value-at-risk
Stochastic programming
Augmented ε-constraint method
dc.title.fl_str_mv Risk assessment for the design and scheduling optimization of periodic multipurpose batch plants under demand uncertainty
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description The aim of the present work is to provide an integrated decision support approach for the design and scheduling of multipurpose batch plants under demand uncertainty allowing the assessment of alternative risk profile solutions. Based on two-stage mixed integer linear programming (MILP) model, the goal is to maximize the annualized profit of the plant operation under a set of scenarios while minimizing the associated financial risk, evaluated by the Conditional Value at Risk (CVaR) using the augmented ε-constraint method. Considering a literature example, the conclusions highlight the advantages of the proposed approach for the decision-support in industrial plant design and scheduling solutions by considering the explicit risk measure assessment towards expected financial outcomes.
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fulltext.url.fl_str_mv https://repositorio.ipl.pt/bitstreams/65741a6a-2e6a-4bf4-ae3a-a269419afbb6/download
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identifier.url.fl_str_mv http://hdl.handle.net/10400.21/8719
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instname_str Instituto Politécnico de Lisboa
language eng
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organization_str_mv urn:organizationAcronym:ipl
person_str_mv Vieira, Miguel
Paulo, Helena
Paulo, Helena
https://www.ciencia-id.pt/D31C-64AA-638F
D31C-64AA-638F
http://orcid.org/0000-0002-3339-2157
0000-0002-3339-2157
Vilard, Corentin
Pinto-Varela, Tânia
Pinto-Varela, Tânia
https://www.ciencia-id.pt/B912-986E-8DF4
B912-986E-8DF4
http://orcid.org/0000-0002-4605-7083
0000-0002-4605-7083
Povoa, Ana
Povoa, Ana
https://www.ciencia-id.pt/651C-2DDA-A52C
651C-2DDA-A52C
http://orcid.org/0000-0001-6594-9653
0000-0001-6594-9653
publishDate 2018
publisher.none.fl_str_mv Elsevier
reponame_str Repositório Científico do Instituto Politécnico de Lisboa
repository_id_str urn:repositoryAcronym:ripl
service_str_mv urn:repositoryAcronym:ripl
spelling engElsevierpt_PTThe aim of the present work is to provide an integrated decision support approach for the design and scheduling of multipurpose batch plants under demand uncertainty allowing the assessment of alternative risk profile solutions. Based on two-stage mixed integer linear programming (MILP) model, the goal is to maximize the annualized profit of the plant operation under a set of scenarios while minimizing the associated financial risk, evaluated by the Conditional Value at Risk (CVaR) using the augmented ε-constraint method. Considering a literature example, the conclusions highlight the advantages of the proposed approach for the decision-support in industrial plant design and scheduling solutions by considering the explicit risk measure assessment towards expected financial outcomes.application/pdfpt_PTRisk assessment for the design and scheduling optimization of periodic multipurpose batch plants under demand uncertaintyVieira, MiguelPersonalPaulo, HelenaDSpacehttp://dspace.org/items/66443165-694a-4815-9fff-528c2cfb80b9DSpacehttp://dspace.org/items/66443165-694a-4815-9fff-528c2cfb80b9Maria dos Santos PauloHelenaCiência IDhttps://www.ciencia-id.ptD31C-64AA-638FORCIDhttp://orcid.org0000-0002-3339-2157Vilard, CorentinPersonalPinto-Varela, TâniaDSpacehttp://dspace.org/items/7c939ac4-33cc-4cad-81a0-fa991a6d4e5bDSpacehttp://dspace.org/items/7c939ac4-33cc-4cad-81a0-fa991a6d4e5bPinto-VarelaTâniaCiência IDhttps://www.ciencia-id.ptB912-986E-8DF4ORCIDhttp://orcid.org0000-0002-4605-7083Researcher IDhttps://www.researcherid.comB-7314-2009Scopus Author IDhttps://www.scopus.com56224464900PersonalPovoa, AnaDSpacehttp://dspace.org/items/c0aa37ee-32d7-454f-984c-396c3489812fDSpacehttp://dspace.org/items/c0aa37ee-32d7-454f-984c-396c3489812fBarbosa-PovoaAnaCiência IDhttps://www.ciencia-id.pt651C-2DDA-A52CORCIDhttp://orcid.org0000-0001-6594-9653Scopus Author IDhttps://www.scopus.com6701390223HostingInstitutionOrganizationalRCIPLe-mailmailto:rcaap@sp.ipl.ptrcaap@sp.ipl.ptISSNIsPartOf1570-7946DOIIsPartOfhttps://doi.org/10.1016/B978-0-444-64235-6.50174-12018-07-30T10:06:56Z2018-072018-07-01T00:00:00ZHandlehttp://hdl.handle.net/10400.21/8719http://purl.org/coar/access_right/c_16ecrestricted accessMultipurpose batch plantsRisk assessmentConditional value-at-riskStochastic programmingAugmented ε-constraint method3057961 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://repositorio.ipl.pt/bitstreams/65741a6a-2e6a-4bf4-ae3a-a269419afbb6/downloadComputer Aided Chemical Engineering43991996
spellingShingle Risk assessment for the design and scheduling optimization of periodic multipurpose batch plants under demand uncertainty
Vieira, Miguel
Multipurpose batch plants
Risk assessment
Conditional value-at-risk
Stochastic programming
Augmented ε-constraint method
status SINGLETON
subject.fl_str_mv Multipurpose batch plants
Risk assessment
Conditional value-at-risk
Stochastic programming
Augmented ε-constraint method
title Risk assessment for the design and scheduling optimization of periodic multipurpose batch plants under demand uncertainty
title_full Risk assessment for the design and scheduling optimization of periodic multipurpose batch plants under demand uncertainty
title_fullStr Risk assessment for the design and scheduling optimization of periodic multipurpose batch plants under demand uncertainty
title_full_unstemmed Risk assessment for the design and scheduling optimization of periodic multipurpose batch plants under demand uncertainty
title_short Risk assessment for the design and scheduling optimization of periodic multipurpose batch plants under demand uncertainty
title_sort Risk assessment for the design and scheduling optimization of periodic multipurpose batch plants under demand uncertainty
topic Multipurpose batch plants
Risk assessment
Conditional value-at-risk
Stochastic programming
Augmented ε-constraint method
topic_facet Multipurpose batch plants
Risk assessment
Conditional value-at-risk
Stochastic programming
Augmented ε-constraint method
url http://hdl.handle.net/10400.21/8719
visible 1