Sustainable supply chains: an integrated modeling approach under uncertainty

Detalhes bibliográficos
Autor(a) principal: Mota, Bruna
Data de Publicação: 2018
Outros Autores: Gomes, Maria Isabel, Carvalho, Ana, Barbosa-Povoa, Ana Paula
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/127776
Resumo: PTDC/EMS-SIS/1982/2012 MITPTB/PFM/0005/2013
id RCAP_047a596b75f6c09aedc77e210f59a758
oai_identifier_str oai:run.unl.pt:10362/127776
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Sustainable supply chains: an integrated modeling approach under uncertaintyClosed-loop supply chainDesign and planningIntermodal transportationStochastic optimizationSustainabilityTechnology selectionTriple bottom lineStrategy and ManagementManagement Science and Operations ResearchInformation Systems and ManagementSDG 9 - Industry, Innovation, and InfrastructureSDG 12 - Responsible Consumption and ProductionPTDC/EMS-SIS/1982/2012 MITPTB/PFM/0005/2013This work presents ToBLoOM – Triple Bottom Line Optimization Modeling, a decision support tool for the design and planning of sustainable supply chains. It consists of a multi-objective mixed integer linear programming model which integrates several interconnected decisions: facility location and capacity determination; supplier selection and purchase levels definition; technology selection and allocation; transportation network definition including both unimodal and intermodal options; supply planning; product recovery and remanufacturing. The three pillars of sustainability are addressed as objective functions: economic, through Net Present Value; environmental through the Life Cycle Analysis methodology ReCiPe; and social through a developed GDP-based metric. Uncertainty is considered using a stochastic ToBloOM. This applied to a case of a European based company with markets in Europe and South America. This work contributes to the literature by building on several identified research gaps such as the need for an integrated approach that allows simultaneous assessment of different interacting supply chain decisions, the need to explicitly assess the environmental impact in closed-loop supply chains, the need to assess the impact of supply chains on society, and the need for a multi-objective tool that includes all the three pillars of sustainability. Strategies towards a more sustainable supply chain are also derived from this work.CMA - Centro de Matemática e AplicaçõesRUNMota, BrunaGomes, Maria IsabelCarvalho, AnaBarbosa-Povoa, Ana Paula2021-11-15T23:28:13Z2018-06-012018-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article26application/pdfhttp://hdl.handle.net/10362/127776eng0305-0483PURE: 3973489https://doi.org/10.1016/j.omega.2017.05.006info: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:RCAAP2024-03-11T05:07:37Zoai:run.unl.pt:10362/127776Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:46:12.122284Repositório 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 Sustainable supply chains: an integrated modeling approach under uncertainty
title Sustainable supply chains: an integrated modeling approach under uncertainty
spellingShingle Sustainable supply chains: an integrated modeling approach under uncertainty
Mota, Bruna
Closed-loop supply chain
Design and planning
Intermodal transportation
Stochastic optimization
Sustainability
Technology selection
Triple bottom line
Strategy and Management
Management Science and Operations Research
Information Systems and Management
SDG 9 - Industry, Innovation, and Infrastructure
SDG 12 - Responsible Consumption and Production
title_short Sustainable supply chains: an integrated modeling approach under uncertainty
title_full Sustainable supply chains: an integrated modeling approach under uncertainty
title_fullStr Sustainable supply chains: an integrated modeling approach under uncertainty
title_full_unstemmed Sustainable supply chains: an integrated modeling approach under uncertainty
title_sort Sustainable supply chains: an integrated modeling approach under uncertainty
author Mota, Bruna
author_facet Mota, Bruna
Gomes, Maria Isabel
Carvalho, Ana
Barbosa-Povoa, Ana Paula
author_role author
author2 Gomes, Maria Isabel
Carvalho, Ana
Barbosa-Povoa, Ana Paula
author2_role author
author
author
dc.contributor.none.fl_str_mv CMA - Centro de Matemática e Aplicações
RUN
dc.contributor.author.fl_str_mv Mota, Bruna
Gomes, Maria Isabel
Carvalho, Ana
Barbosa-Povoa, Ana Paula
dc.subject.por.fl_str_mv Closed-loop supply chain
Design and planning
Intermodal transportation
Stochastic optimization
Sustainability
Technology selection
Triple bottom line
Strategy and Management
Management Science and Operations Research
Information Systems and Management
SDG 9 - Industry, Innovation, and Infrastructure
SDG 12 - Responsible Consumption and Production
topic Closed-loop supply chain
Design and planning
Intermodal transportation
Stochastic optimization
Sustainability
Technology selection
Triple bottom line
Strategy and Management
Management Science and Operations Research
Information Systems and Management
SDG 9 - Industry, Innovation, and Infrastructure
SDG 12 - Responsible Consumption and Production
description PTDC/EMS-SIS/1982/2012 MITPTB/PFM/0005/2013
publishDate 2018
dc.date.none.fl_str_mv 2018-06-01
2018-06-01T00:00:00Z
2021-11-15T23:28:13Z
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/10362/127776
url http://hdl.handle.net/10362/127776
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0305-0483
PURE: 3973489
https://doi.org/10.1016/j.omega.2017.05.006
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 26
application/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
_version_ 1799138066235916288