Sensibility study in a flexible job shop scheduling problem

Detalhes bibliográficos
Autor(a) principal: Curralo, Ana
Data de Publicação: 2013
Outros Autores: Pereira, Ana I., Barbosa, José, Leitão, Paulo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10198/11173
Resumo: This paper proposes the impact assessment of the jobs order in the optimal time of operations in a Flexible Job Shop Scheduling Problem. In this work a real assembly cell was studied: the AIP-PRIMECA cell at the Université de Valenciennes et du Hainaut-Cambrésis, in France, which is considered as a Flexible Job Shop problem. The problem consists in finding the machines operations schedule, taking into account the precedence constraints. The main objective is to minimize the batch makespan, i.e. the finish time of the last operation completed in the schedule. Shortly, the present study consists in evaluating if the jobs order affects the optimal time of the operations schedule. The genetic algorithm was used to solve the optimization problem. As a conclusion, it’s assessed that the jobs order influence the optimal time.
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spelling Sensibility study in a flexible job shop scheduling problemFlexible job shop problemGlobal optimizationGenetic algorithmThis paper proposes the impact assessment of the jobs order in the optimal time of operations in a Flexible Job Shop Scheduling Problem. In this work a real assembly cell was studied: the AIP-PRIMECA cell at the Université de Valenciennes et du Hainaut-Cambrésis, in France, which is considered as a Flexible Job Shop problem. The problem consists in finding the machines operations schedule, taking into account the precedence constraints. The main objective is to minimize the batch makespan, i.e. the finish time of the last operation completed in the schedule. Shortly, the present study consists in evaluating if the jobs order affects the optimal time of the operations schedule. The genetic algorithm was used to solve the optimization problem. As a conclusion, it’s assessed that the jobs order influence the optimal time.AIP Conference ProceedingsBiblioteca Digital do IPBCurralo, AnaPereira, Ana I.Barbosa, JoséLeitão, Paulo2014-10-29T12:51:07Z20132013-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/11173engCurralo, Ana; Pereira, Ana I.; Barbosa, José; Leitão, Paulo (2013). Flexible job shop scheduling problem. In 11th International Conference of Numerical Analysis and Applied Mathematics, ICNAAM. Melville: American Institute of Physics. p.634-637. ISBN 978-0-7354-1185-2978-0-7354-1185-210.1063/1.4825571info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T12:02:07Zoai:bibliotecadigital.ipb.pt:10198/11173Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:27:13.370304Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Sensibility study in a flexible job shop scheduling problem
title Sensibility study in a flexible job shop scheduling problem
spellingShingle Sensibility study in a flexible job shop scheduling problem
Curralo, Ana
Flexible job shop problem
Global optimization
Genetic algorithm
title_short Sensibility study in a flexible job shop scheduling problem
title_full Sensibility study in a flexible job shop scheduling problem
title_fullStr Sensibility study in a flexible job shop scheduling problem
title_full_unstemmed Sensibility study in a flexible job shop scheduling problem
title_sort Sensibility study in a flexible job shop scheduling problem
author Curralo, Ana
author_facet Curralo, Ana
Pereira, Ana I.
Barbosa, José
Leitão, Paulo
author_role author
author2 Pereira, Ana I.
Barbosa, José
Leitão, Paulo
author2_role author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Curralo, Ana
Pereira, Ana I.
Barbosa, José
Leitão, Paulo
dc.subject.por.fl_str_mv Flexible job shop problem
Global optimization
Genetic algorithm
topic Flexible job shop problem
Global optimization
Genetic algorithm
description This paper proposes the impact assessment of the jobs order in the optimal time of operations in a Flexible Job Shop Scheduling Problem. In this work a real assembly cell was studied: the AIP-PRIMECA cell at the Université de Valenciennes et du Hainaut-Cambrésis, in France, which is considered as a Flexible Job Shop problem. The problem consists in finding the machines operations schedule, taking into account the precedence constraints. The main objective is to minimize the batch makespan, i.e. the finish time of the last operation completed in the schedule. Shortly, the present study consists in evaluating if the jobs order affects the optimal time of the operations schedule. The genetic algorithm was used to solve the optimization problem. As a conclusion, it’s assessed that the jobs order influence the optimal time.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01T00:00:00Z
2014-10-29T12:51:07Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/11173
url http://hdl.handle.net/10198/11173
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Curralo, Ana; Pereira, Ana I.; Barbosa, José; Leitão, Paulo (2013). Flexible job shop scheduling problem. In 11th International Conference of Numerical Analysis and Applied Mathematics, ICNAAM. Melville: American Institute of Physics. p.634-637. ISBN 978-0-7354-1185-2
978-0-7354-1185-2
10.1063/1.4825571
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dc.publisher.none.fl_str_mv AIP Conference Proceedings
publisher.none.fl_str_mv AIP Conference Proceedings
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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repository.mail.fl_str_mv info@rcaap.pt
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