Sensibility study in a flexible job shop scheduling problem

Bibliographic Details
Main Author: Curralo, Ana
Publication Date: 2013
Other Authors: Pereira, Ana I., Barbosa, José, Leitão, Paulo
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/63807
Summary: 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.(undefined)American Institute of PhysicsUniversidade do MinhoCurralo, AnaPereira, Ana I.Barbosa, JoséLeitão, Paulo20132013-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/63807eng97807354118450094-243X1551-761610.1063/1.4825571https://aip.scitation.org/doi/pdf/10.1063/1.4825571?class=pdfinfo: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:RCAAP2024-05-11T07:03:40Zoai:repositorium.sdum.uminho.pt:1822/63807Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:14:00.341020Repositórios 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 Universidade do Minho
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
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/63807
url http://hdl.handle.net/1822/63807
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 9780735411845
0094-243X
1551-7616
10.1063/1.4825571
https://aip.scitation.org/doi/pdf/10.1063/1.4825571?class=pdf
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv American Institute of Physics
publisher.none.fl_str_mv American Institute of Physics
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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