Fuzzy inference model for decision support in sustainable production planning processes—a case study

Detalhes bibliográficos
Autor(a) principal: Zarte, Maximilian
Data de Publicação: 2021
Outros Autores: Pechmann, Agnes, Nunes, Isabel L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/125420
Resumo: Due to crises (e.g., climate crisis, extinction of species, shortage of natural resources, human health crisis), customer requirements for conventionally produced products shift to more sustainably produced products, reducing and avoiding negative environmental and social impacts. Circular thinking in production systems offers new opportunities to meet these new customer expectations. However, it enlarges new challenges for production planning too. Research gaps exist in production planning approaches, considering all three sustainability aspects (economic, environ-mental, and social) simultaneously. This paper presents a concept of a fuzzy inference model (FIM) to assess the sustainability of production programs. The FIM concept is demonstrated and tested using a single case study considering lab production schedules. The model’s outcome indicates the most significant opportunities to improve production programs’ sustainability using experts’ knowledge.
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spelling Fuzzy inference model for decision support in sustainable production planning processes—a case studyCircular economyFuzzy inference modelSustainable developmentSustainable production planningGeography, Planning and DevelopmentRenewable Energy, Sustainability and the EnvironmentManagement, Monitoring, Policy and LawSDG 3 - Good Health and Well-beingSDG 7 - Affordable and Clean EnergySDG 8 - Decent Work and Economic GrowthSDG 12 - Responsible Consumption and ProductionSDG 13 - Climate ActionSDG 15 - Life on LandDue to crises (e.g., climate crisis, extinction of species, shortage of natural resources, human health crisis), customer requirements for conventionally produced products shift to more sustainably produced products, reducing and avoiding negative environmental and social impacts. Circular thinking in production systems offers new opportunities to meet these new customer expectations. However, it enlarges new challenges for production planning too. Research gaps exist in production planning approaches, considering all three sustainability aspects (economic, environ-mental, and social) simultaneously. This paper presents a concept of a fuzzy inference model (FIM) to assess the sustainability of production programs. The FIM concept is demonstrated and tested using a single case study considering lab production schedules. The model’s outcome indicates the most significant opportunities to improve production programs’ sustainability using experts’ knowledge.DEMI - Departamento de Engenharia Mecânica e IndustrialUNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e IndustrialRUNZarte, MaximilianPechmann, AgnesNunes, Isabel L.2021-10-01T02:14:53Z2021-02-012021-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article31application/pdfhttp://hdl.handle.net/10362/125420eng2071-1050PURE: 28306794https://doi.org/10.3390/su13031355info: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:RCAAP2024-03-11T05:06:24Zoai:run.unl.pt:10362/125420Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:45:42.310987Repositório 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 Fuzzy inference model for decision support in sustainable production planning processes—a case study
title Fuzzy inference model for decision support in sustainable production planning processes—a case study
spellingShingle Fuzzy inference model for decision support in sustainable production planning processes—a case study
Zarte, Maximilian
Circular economy
Fuzzy inference model
Sustainable development
Sustainable production planning
Geography, Planning and Development
Renewable Energy, Sustainability and the Environment
Management, Monitoring, Policy and Law
SDG 3 - Good Health and Well-being
SDG 7 - Affordable and Clean Energy
SDG 8 - Decent Work and Economic Growth
SDG 12 - Responsible Consumption and Production
SDG 13 - Climate Action
SDG 15 - Life on Land
title_short Fuzzy inference model for decision support in sustainable production planning processes—a case study
title_full Fuzzy inference model for decision support in sustainable production planning processes—a case study
title_fullStr Fuzzy inference model for decision support in sustainable production planning processes—a case study
title_full_unstemmed Fuzzy inference model for decision support in sustainable production planning processes—a case study
title_sort Fuzzy inference model for decision support in sustainable production planning processes—a case study
author Zarte, Maximilian
author_facet Zarte, Maximilian
Pechmann, Agnes
Nunes, Isabel L.
author_role author
author2 Pechmann, Agnes
Nunes, Isabel L.
author2_role author
author
dc.contributor.none.fl_str_mv DEMI - Departamento de Engenharia Mecânica e Industrial
UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
RUN
dc.contributor.author.fl_str_mv Zarte, Maximilian
Pechmann, Agnes
Nunes, Isabel L.
dc.subject.por.fl_str_mv Circular economy
Fuzzy inference model
Sustainable development
Sustainable production planning
Geography, Planning and Development
Renewable Energy, Sustainability and the Environment
Management, Monitoring, Policy and Law
SDG 3 - Good Health and Well-being
SDG 7 - Affordable and Clean Energy
SDG 8 - Decent Work and Economic Growth
SDG 12 - Responsible Consumption and Production
SDG 13 - Climate Action
SDG 15 - Life on Land
topic Circular economy
Fuzzy inference model
Sustainable development
Sustainable production planning
Geography, Planning and Development
Renewable Energy, Sustainability and the Environment
Management, Monitoring, Policy and Law
SDG 3 - Good Health and Well-being
SDG 7 - Affordable and Clean Energy
SDG 8 - Decent Work and Economic Growth
SDG 12 - Responsible Consumption and Production
SDG 13 - Climate Action
SDG 15 - Life on Land
description Due to crises (e.g., climate crisis, extinction of species, shortage of natural resources, human health crisis), customer requirements for conventionally produced products shift to more sustainably produced products, reducing and avoiding negative environmental and social impacts. Circular thinking in production systems offers new opportunities to meet these new customer expectations. However, it enlarges new challenges for production planning too. Research gaps exist in production planning approaches, considering all three sustainability aspects (economic, environ-mental, and social) simultaneously. This paper presents a concept of a fuzzy inference model (FIM) to assess the sustainability of production programs. The FIM concept is demonstrated and tested using a single case study considering lab production schedules. The model’s outcome indicates the most significant opportunities to improve production programs’ sustainability using experts’ knowledge.
publishDate 2021
dc.date.none.fl_str_mv 2021-10-01T02:14:53Z
2021-02-01
2021-02-01T00:00:00Z
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/10362/125420
url http://hdl.handle.net/10362/125420
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2071-1050
PURE: 28306794
https://doi.org/10.3390/su13031355
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 31
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
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