Genetic algorithm for flexible job shop scheduling problem - A case study

Bibliographic Details
Main Author: Guevara, Gabriela
Publication Date: 2015
Other Authors: Pereira, Ana I., Ferreira, Adriano, Barbosa, José, Leitão, Paulo
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10198/13857
Summary: This paper proposes the impact assessment of the workers in the optimal time of operations in a Flexible Job Shop Scheduling Problem. In this work, a real enterprise was studied. The problem consists in finding the workers operations schedule, taking into account the precedence constraints. The main objective is to minimize the finish time of the last task completed in the schedule. The genetic algorithm was used to solve the optimization problem and some numerical results are presented.
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spelling Genetic algorithm for flexible job shop scheduling problem - A case studyScheduling problemGenetic algorithmFlexible job shop problemThis paper proposes the impact assessment of the workers in the optimal time of operations in a Flexible Job Shop Scheduling Problem. In this work, a real enterprise was studied. The problem consists in finding the workers operations schedule, taking into account the precedence constraints. The main objective is to minimize the finish time of the last task completed in the schedule. The genetic algorithm was used to solve the optimization problem and some numerical results are presented.The research leading to these results has received funding from the European Union Seventh Framework Programme FP7/2007- 2013 under grant agreement n° 314056.Biblioteca Digital do IPBGuevara, GabrielaPereira, Ana I.Ferreira, AdrianoBarbosa, JoséLeitão, Paulo2017-01-18T10:01:17Z20152015-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/13857engGuevara, Gabriela; Pereira, Ana I.; Ferreira, Adriano; Barbosa, José; Leitão, Paulo (2015). Genetic algorithm for flexible job shop scheduling problem - A case study. In International Conference on Numerical Analysis and Applied Mathematics (ICNAAM). Rhodes, GREECE.10.1063/1.4912426info: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:RCAAP2025-02-25T12:04:09Zoai:bibliotecadigital.ipb.pt:10198/13857Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:30:30.576538Repositórios 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 Genetic algorithm for flexible job shop scheduling problem - A case study
title Genetic algorithm for flexible job shop scheduling problem - A case study
spellingShingle Genetic algorithm for flexible job shop scheduling problem - A case study
Guevara, Gabriela
Scheduling problem
Genetic algorithm
Flexible job shop problem
title_short Genetic algorithm for flexible job shop scheduling problem - A case study
title_full Genetic algorithm for flexible job shop scheduling problem - A case study
title_fullStr Genetic algorithm for flexible job shop scheduling problem - A case study
title_full_unstemmed Genetic algorithm for flexible job shop scheduling problem - A case study
title_sort Genetic algorithm for flexible job shop scheduling problem - A case study
author Guevara, Gabriela
author_facet Guevara, Gabriela
Pereira, Ana I.
Ferreira, Adriano
Barbosa, José
Leitão, Paulo
author_role author
author2 Pereira, Ana I.
Ferreira, Adriano
Barbosa, José
Leitão, Paulo
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Guevara, Gabriela
Pereira, Ana I.
Ferreira, Adriano
Barbosa, José
Leitão, Paulo
dc.subject.por.fl_str_mv Scheduling problem
Genetic algorithm
Flexible job shop problem
topic Scheduling problem
Genetic algorithm
Flexible job shop problem
description This paper proposes the impact assessment of the workers in the optimal time of operations in a Flexible Job Shop Scheduling Problem. In this work, a real enterprise was studied. The problem consists in finding the workers operations schedule, taking into account the precedence constraints. The main objective is to minimize the finish time of the last task completed in the schedule. The genetic algorithm was used to solve the optimization problem and some numerical results are presented.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-01-01T00:00:00Z
2017-01-18T10:01:17Z
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/10198/13857
url http://hdl.handle.net/10198/13857
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Guevara, Gabriela; Pereira, Ana I.; Ferreira, Adriano; Barbosa, José; Leitão, Paulo (2015). Genetic algorithm for flexible job shop scheduling problem - A case study. In International Conference on Numerical Analysis and Applied Mathematics (ICNAAM). Rhodes, GREECE.
10.1063/1.4912426
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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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