Otimização do Job Shop Scheduling integrando ferramentas Lean e TOC

Detalhes bibliográficos
Autor(a) principal: Luís Filipe da Silva Tunes
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/135603
Resumo: This work presents the process of creating a tool that automates the production planning of the HFA company affiliated with Inova-Ria. At the base of order sequencing, there is the problem Job Shop Scheduling for which different approaches are proposed, integrating the Lean and TOC philosophies, and managing the allocation of human resources and restrictions linked to the practical context. It is left in open the development of stochastic tools and the analysis of the profit and associated risk. It is mentioned, as future considerations, batch sizing algorithms and a model based on complex adaptive systems to be implemented in machine learning systems.
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spelling Otimização do Job Shop Scheduling integrando ferramentas Lean e TOCEngenharia mecânicaMechanical engineeringThis work presents the process of creating a tool that automates the production planning of the HFA company affiliated with Inova-Ria. At the base of order sequencing, there is the problem Job Shop Scheduling for which different approaches are proposed, integrating the Lean and TOC philosophies, and managing the allocation of human resources and restrictions linked to the practical context. It is left in open the development of stochastic tools and the analysis of the profit and associated risk. It is mentioned, as future considerations, batch sizing algorithms and a model based on complex adaptive systems to be implemented in machine learning systems.2021-07-052021-07-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/10216/135603TID:202822567porLuís Filipe da Silva Tunesinfo: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:RCAAP2023-11-29T12:28:23Zoai:repositorio-aberto.up.pt:10216/135603Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:20:55.232848Repositório 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 Otimização do Job Shop Scheduling integrando ferramentas Lean e TOC
title Otimização do Job Shop Scheduling integrando ferramentas Lean e TOC
spellingShingle Otimização do Job Shop Scheduling integrando ferramentas Lean e TOC
Luís Filipe da Silva Tunes
Engenharia mecânica
Mechanical engineering
title_short Otimização do Job Shop Scheduling integrando ferramentas Lean e TOC
title_full Otimização do Job Shop Scheduling integrando ferramentas Lean e TOC
title_fullStr Otimização do Job Shop Scheduling integrando ferramentas Lean e TOC
title_full_unstemmed Otimização do Job Shop Scheduling integrando ferramentas Lean e TOC
title_sort Otimização do Job Shop Scheduling integrando ferramentas Lean e TOC
author Luís Filipe da Silva Tunes
author_facet Luís Filipe da Silva Tunes
author_role author
dc.contributor.author.fl_str_mv Luís Filipe da Silva Tunes
dc.subject.por.fl_str_mv Engenharia mecânica
Mechanical engineering
topic Engenharia mecânica
Mechanical engineering
description This work presents the process of creating a tool that automates the production planning of the HFA company affiliated with Inova-Ria. At the base of order sequencing, there is the problem Job Shop Scheduling for which different approaches are proposed, integrating the Lean and TOC philosophies, and managing the allocation of human resources and restrictions linked to the practical context. It is left in open the development of stochastic tools and the analysis of the profit and associated risk. It is mentioned, as future considerations, batch sizing algorithms and a model based on complex adaptive systems to be implemented in machine learning systems.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-05
2021-07-05T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/135603
TID:202822567
url https://hdl.handle.net/10216/135603
identifier_str_mv TID:202822567
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 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
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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
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