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Two-level hierarchical framework for short-term production planning and scheduling

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Resumo:This study aims to develop a two-level hierarchical production planning framework for a medium-sized Portuguese company that operates as a tier 2 supplier within the automotive production supply chain. The framework is designed to assist the decision-making process during the short-term planning of four progressive hydraulic presses used to produce cold-stamped parts for exhaust systems. The two hierarchical levels of the framework are: (i) a Mixed-Integer Linear Programming (MILP) model to determine the optimal quantities to be produced in a single machine while minimizing the total costs; and (ii) a dynamic production sequencing rule that defines the machine schedule based on three criteria that are relevant for the company. Both framework levels have been combined and implemented in Excel; in the first level, the MILP model is solved using the add-in Solver; then, the second level uses the optimal quantities to be produced as inputs to determine the production sequence through a mathematical procedure. The spreadsheet features a dashboard for intuitive use and presentation of results. The framework was validated by comparing it to a real plan executed by the company, and it was found that the plan proposed by the framework could save up to 20,6% of the total cost observed in reality. The framework requires a week-to-week rolling planning horizon in order to absorb uncertainties.
Autores principais:Zanella, Fernando
Assunto:Mixed integer linear programming Short-term production planning Hierarchical production planning
Ano:2023
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso restrito
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Zanella, Fernando
author_facet Zanella, Fernando
author_role author
contributor_name_str_mv Vaz, Clara B.
Trentin, Robson Gonçalves
Biblioteca Digital do IPB
country_str PT
creators_json_txt [{\"Person.name\":\"Zanella, Fernando\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Vaz, Clara B.
Trentin, Robson Gonçalves
Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Zanella, Fernando
datacite.date.Accepted.fl_str_mv 2023-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2023-04-17T14:26:29Z
datacite.date.embargoed.fl_str_mv 2023-04-17T14:26:29Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_16ec
datacite.subjects.subject.fl_str_mv Mixed integer linear programming
Short-term production planning
Hierarchical production planning
datacite.titles.title.fl_str_mv Two-level hierarchical framework for short-term production planning and scheduling
dc.contributor.none.fl_str_mv Vaz, Clara B.
Trentin, Robson Gonçalves
Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Zanella, Fernando
dc.date.Accepted.fl_str_mv 2023-01-01T00:00:00Z
dc.date.available.fl_str_mv 2023-04-17T14:26:29Z
dc.date.embargoed.fl_str_mv 2023-04-17T14:26:29Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/28192
dc.language.none.fl_str_mv eng
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.subject.none.fl_str_mv Mixed integer linear programming
Short-term production planning
Hierarchical production planning
dc.title.fl_str_mv Two-level hierarchical framework for short-term production planning and scheduling
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_bdcc
description This study aims to develop a two-level hierarchical production planning framework for a medium-sized Portuguese company that operates as a tier 2 supplier within the automotive production supply chain. The framework is designed to assist the decision-making process during the short-term planning of four progressive hydraulic presses used to produce cold-stamped parts for exhaust systems. The two hierarchical levels of the framework are: (i) a Mixed-Integer Linear Programming (MILP) model to determine the optimal quantities to be produced in a single machine while minimizing the total costs; and (ii) a dynamic production sequencing rule that defines the machine schedule based on three criteria that are relevant for the company. Both framework levels have been combined and implemented in Excel; in the first level, the MILP model is solved using the add-in Solver; then, the second level uses the optimal quantities to be produced as inputs to determine the production sequence through a mathematical procedure. The spreadsheet features a dashboard for intuitive use and presentation of results. The framework was validated by comparing it to a real plan executed by the company, and it was found that the plan proposed by the framework could save up to 20,6% of the total cost observed in reality. The framework requires a week-to-week rolling planning horizon in order to absorb uncertainties.
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instname_str Instituto Politécnico de Bragança
language eng
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oai_identifier_str oai:bibliotecadigital.ipb.pt:10198/28192
organization_str_mv urn:organizationAcronym:ipb
person_str_mv Zanella, Fernando
publishDate 2023
reponame_str Biblioteca Digital do IPB
repository_id_str urn:repositoryAcronym:ipb
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spelling engpt_PTThis study aims to develop a two-level hierarchical production planning framework for a medium-sized Portuguese company that operates as a tier 2 supplier within the automotive production supply chain. The framework is designed to assist the decision-making process during the short-term planning of four progressive hydraulic presses used to produce cold-stamped parts for exhaust systems. The two hierarchical levels of the framework are: (i) a Mixed-Integer Linear Programming (MILP) model to determine the optimal quantities to be produced in a single machine while minimizing the total costs; and (ii) a dynamic production sequencing rule that defines the machine schedule based on three criteria that are relevant for the company. Both framework levels have been combined and implemented in Excel; in the first level, the MILP model is solved using the add-in Solver; then, the second level uses the optimal quantities to be produced as inputs to determine the production sequence through a mathematical procedure. The spreadsheet features a dashboard for intuitive use and presentation of results. The framework was validated by comparing it to a real plan executed by the company, and it was found that the plan proposed by the framework could save up to 20,6% of the total cost observed in reality. The framework requires a week-to-week rolling planning horizon in order to absorb uncertainties.application/pdfpt_PTTwo-level hierarchical framework for short-term production planning and schedulingZanella, FernandoVaz, Clara B.Trentin, Robson GonçalvesHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptURNurn:tid:2032720302023-04-17T14:26:29Z20232023-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/28192http://purl.org/coar/access_right/c_16ecrestricted accessMixed integer linear programmingShort-term production planningHierarchical production planning6165301 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesis2023http://creativecommons.org/licenses/by-nc/4.0/http://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/67d8bf30-a29a-457d-b7c6-4c52110e6ad3/download
spellingShingle Two-level hierarchical framework for short-term production planning and scheduling
Zanella, Fernando
Mixed integer linear programming
Short-term production planning
Hierarchical production planning
status SINGLETON
subject.fl_str_mv Mixed integer linear programming
Short-term production planning
Hierarchical production planning
title Two-level hierarchical framework for short-term production planning and scheduling
title_full Two-level hierarchical framework for short-term production planning and scheduling
title_fullStr Two-level hierarchical framework for short-term production planning and scheduling
title_full_unstemmed Two-level hierarchical framework for short-term production planning and scheduling
title_short Two-level hierarchical framework for short-term production planning and scheduling
title_sort Two-level hierarchical framework for short-term production planning and scheduling
topic Mixed integer linear programming
Short-term production planning
Hierarchical production planning
topic_facet Mixed integer linear programming
Short-term production planning
Hierarchical production planning
url http://hdl.handle.net/10198/28192
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