Sensibility study in a flexible job shop scheduling problem
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2013 |
| Outros Autores: | , , |
| 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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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 |
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conference object |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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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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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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AIP Conference Proceedings |
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AIP Conference Proceedings |
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