Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and Product
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
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/10362/150630 |
Resumo: | Publisher Copyright: © 2022 by the authors. This research received no external funding. |
id |
RCAP_48af9cc27457aef4735934fcc6b3056c |
---|---|
oai_identifier_str |
oai:run.unl.pt:10362/150630 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and ProductnondominatedoptimizationParetorobustRSMStackelbergComputer Science (miscellaneous)Geography, Planning and DevelopmentRenewable Energy, Sustainability and the EnvironmentBuilding and ConstructionEnvironmental Science (miscellaneous)Energy Engineering and Power TechnologyHardware and ArchitectureComputer Networks and CommunicationsManagement, Monitoring, Policy and LawSDG 7 - Affordable and Clean EnergyPublisher Copyright: © 2022 by the authors. This research received no external funding.Cost-effective manufacturing processes or products are no longer the only requirements for business sustainability. An approach based on Game Theory is suggested to find solutions for bi-objective problems. In particular, Stackelberg’s technique is employed and complemented with the Factors Scaling tool to help the users in defining its strategy for optimizing process and product quality characteristics. No subjective information (shape factors, weights, and/or any other preference information) is required from the users, and basic computational background is enough for implementing it. Two case studies provide evidence that the suggested easy-to-use approach can yield nondominated solutions from a small number of Leader–Follower cycles, what reinforces its usefulness for bi-objective optimization problems.UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e IndustrialRUNCosta, NunoLourenço, João2023-03-15T22:32:16Z2022-11-112022-11-11T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article14application/pdfhttp://hdl.handle.net/10362/150630engCosta, N., & Lourenço, J. (2022). Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and Product. Sustainability (Switzerland), 14(22), [14910]. https://doi.org/10.3390/su1422149102071-1050PURE: 55781686https://doi.org/10.3390/su142214910info: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:RCAAP2024-03-11T05:32:40Zoai:run.unl.pt:10362/150630Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:54:13.212951Repositório 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 |
Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and Product |
title |
Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and Product |
spellingShingle |
Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and Product Costa, Nuno nondominated optimization Pareto robust RSM Stackelberg Computer Science (miscellaneous) Geography, Planning and Development Renewable Energy, Sustainability and the Environment Building and Construction Environmental Science (miscellaneous) Energy Engineering and Power Technology Hardware and Architecture Computer Networks and Communications Management, Monitoring, Policy and Law SDG 7 - Affordable and Clean Energy |
title_short |
Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and Product |
title_full |
Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and Product |
title_fullStr |
Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and Product |
title_full_unstemmed |
Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and Product |
title_sort |
Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and Product |
author |
Costa, Nuno |
author_facet |
Costa, Nuno Lourenço, João |
author_role |
author |
author2 |
Lourenço, João |
author2_role |
author |
dc.contributor.none.fl_str_mv |
UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial RUN |
dc.contributor.author.fl_str_mv |
Costa, Nuno Lourenço, João |
dc.subject.por.fl_str_mv |
nondominated optimization Pareto robust RSM Stackelberg Computer Science (miscellaneous) Geography, Planning and Development Renewable Energy, Sustainability and the Environment Building and Construction Environmental Science (miscellaneous) Energy Engineering and Power Technology Hardware and Architecture Computer Networks and Communications Management, Monitoring, Policy and Law SDG 7 - Affordable and Clean Energy |
topic |
nondominated optimization Pareto robust RSM Stackelberg Computer Science (miscellaneous) Geography, Planning and Development Renewable Energy, Sustainability and the Environment Building and Construction Environmental Science (miscellaneous) Energy Engineering and Power Technology Hardware and Architecture Computer Networks and Communications Management, Monitoring, Policy and Law SDG 7 - Affordable and Clean Energy |
description |
Publisher Copyright: © 2022 by the authors. This research received no external funding. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11-11 2022-11-11T00:00:00Z 2023-03-15T22:32:16Z |
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/10362/150630 |
url |
http://hdl.handle.net/10362/150630 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Costa, N., & Lourenço, J. (2022). Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and Product. Sustainability (Switzerland), 14(22), [14910]. https://doi.org/10.3390/su142214910 2071-1050 PURE: 55781686 https://doi.org/10.3390/su142214910 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
14 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_ |
1799138131813859328 |