Heuristics for multi-objective no-wait flow shops with sequence-dependent setup times
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da USP |
Texto Completo: | https://www.teses.usp.br/teses/disponiveis/18/18156/tde-07122021-164135/ |
Resumo: | Productive systems often involve several objectives and constraints that need to be considered by the scheduler. Under these circumstances, solving scheduling problems with multiple criteria tends to be the most appropriate approach. In this context, the no-wait flow shop problem with sequence-dependent setup times is addressed. The performance measures makespan, total completion time and total tardiness are approached in pairs to form functions ε(M1|M2), in which the objective is to minimize M1 subject to an upper bound on M2. Since this problem is known to be NP-hard, using exact methods for large instances can be impractical. As an alternative, heuristic methods have been developed to speed up the process of finding satisfactory solutions. In this Thesis, state-of-the-art methods for similar problems found in the literature are selected in order to explore opportunities for improvement. Focusing on simplicity of implementation and efficiency of execution, different heuristic methods are proposed. Extensive experiments are performed to evaluate performance. The results show that the proposed heuristics outperform the existing methods in solution quality and computational efficiency. |
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Heuristics for multi-objective no-wait flow shops with sequence-dependent setup timesHeurísticas para no-wait flow shops multi-objetivo com tempos de preparação dependentes da sequênciaFlow shopFlow shopMakespanMakespanNo-waitNo-waitSequence-dependent setup timesSequence-dependent setup timesTotal completion timeTotal completion timeTotal tardinessTotal tardinessProductive systems often involve several objectives and constraints that need to be considered by the scheduler. Under these circumstances, solving scheduling problems with multiple criteria tends to be the most appropriate approach. In this context, the no-wait flow shop problem with sequence-dependent setup times is addressed. The performance measures makespan, total completion time and total tardiness are approached in pairs to form functions ε(M1|M2), in which the objective is to minimize M1 subject to an upper bound on M2. Since this problem is known to be NP-hard, using exact methods for large instances can be impractical. As an alternative, heuristic methods have been developed to speed up the process of finding satisfactory solutions. In this Thesis, state-of-the-art methods for similar problems found in the literature are selected in order to explore opportunities for improvement. Focusing on simplicity of implementation and efficiency of execution, different heuristic methods are proposed. Extensive experiments are performed to evaluate performance. The results show that the proposed heuristics outperform the existing methods in solution quality and computational efficiency.Sistemas produtivos geralmente envolvem vários objetivos e restrições que precisam ser considerados pelo programador. Nessas circunstâncias, resolver problemas de programação com múltiplos critérios tende a ser a abordagem mais adequada. Nesse contexto, o problema no-wait flow shop com tempos de preparação dependentes da sequência é abordado. As medidas de desempenho makespan, total completion time e total tardiness são abordadas em pares para formar funções ε(M1|M2), nas quais o objetivo é minimizar M1 sujeito a um limite superior em M2. Como esse problema é conhecido por ser NP-hard, usar métodos exatos para instâncias grandes geralmente são impraticáveis. Como alternativa, métodos heurísticos têm sido desenvolvidos para acelerar o processo de busca de soluções satisfatórias. Nesta Dissertação, métodos considerados estado-da-arte para problemas semelhantes encontrados na literatura são selecionados para serem exploradas oportunidades de melhoria. Com foco na simplicidade de implementação e eficiência de execução, diferentes métodos heurísticos são propostos. Experimentos extensivos são realizados para avaliar o desempenho. Os resultados mostram que as heurísticas propostas superam os métodos existentes em qualidade de solução e eficiência computacional.Biblioteca Digitais de Teses e Dissertações da USPNagano, Marcelo SeidoAlmeida, Fernando Siqueira de2021-11-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://www.teses.usp.br/teses/disponiveis/18/18156/tde-07122021-164135/reponame:Biblioteca Digital de Teses e Dissertações da USPinstname:Universidade de São Paulo (USP)instacron:USPLiberar o conteúdo para acesso público.info:eu-repo/semantics/openAccesseng2021-12-09T20:05:46Zoai:teses.usp.br:tde-07122021-164135Biblioteca Digital de Teses e Dissertaçõeshttp://www.teses.usp.br/PUBhttp://www.teses.usp.br/cgi-bin/mtd2br.plvirginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.bropendoar:27212021-12-09T20:05:46Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Heuristics for multi-objective no-wait flow shops with sequence-dependent setup times Heurísticas para no-wait flow shops multi-objetivo com tempos de preparação dependentes da sequência |
title |
Heuristics for multi-objective no-wait flow shops with sequence-dependent setup times |
spellingShingle |
Heuristics for multi-objective no-wait flow shops with sequence-dependent setup times Almeida, Fernando Siqueira de Flow shop Flow shop Makespan Makespan No-wait No-wait Sequence-dependent setup times Sequence-dependent setup times Total completion time Total completion time Total tardiness Total tardiness |
title_short |
Heuristics for multi-objective no-wait flow shops with sequence-dependent setup times |
title_full |
Heuristics for multi-objective no-wait flow shops with sequence-dependent setup times |
title_fullStr |
Heuristics for multi-objective no-wait flow shops with sequence-dependent setup times |
title_full_unstemmed |
Heuristics for multi-objective no-wait flow shops with sequence-dependent setup times |
title_sort |
Heuristics for multi-objective no-wait flow shops with sequence-dependent setup times |
author |
Almeida, Fernando Siqueira de |
author_facet |
Almeida, Fernando Siqueira de |
author_role |
author |
dc.contributor.none.fl_str_mv |
Nagano, Marcelo Seido |
dc.contributor.author.fl_str_mv |
Almeida, Fernando Siqueira de |
dc.subject.por.fl_str_mv |
Flow shop Flow shop Makespan Makespan No-wait No-wait Sequence-dependent setup times Sequence-dependent setup times Total completion time Total completion time Total tardiness Total tardiness |
topic |
Flow shop Flow shop Makespan Makespan No-wait No-wait Sequence-dependent setup times Sequence-dependent setup times Total completion time Total completion time Total tardiness Total tardiness |
description |
Productive systems often involve several objectives and constraints that need to be considered by the scheduler. Under these circumstances, solving scheduling problems with multiple criteria tends to be the most appropriate approach. In this context, the no-wait flow shop problem with sequence-dependent setup times is addressed. The performance measures makespan, total completion time and total tardiness are approached in pairs to form functions ε(M1|M2), in which the objective is to minimize M1 subject to an upper bound on M2. Since this problem is known to be NP-hard, using exact methods for large instances can be impractical. As an alternative, heuristic methods have been developed to speed up the process of finding satisfactory solutions. In this Thesis, state-of-the-art methods for similar problems found in the literature are selected in order to explore opportunities for improvement. Focusing on simplicity of implementation and efficiency of execution, different heuristic methods are proposed. Extensive experiments are performed to evaluate performance. The results show that the proposed heuristics outperform the existing methods in solution quality and computational efficiency. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-12 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.teses.usp.br/teses/disponiveis/18/18156/tde-07122021-164135/ |
url |
https://www.teses.usp.br/teses/disponiveis/18/18156/tde-07122021-164135/ |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
|
dc.rights.driver.fl_str_mv |
Liberar o conteúdo para acesso público. info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Liberar o conteúdo para acesso público. |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
|
dc.publisher.none.fl_str_mv |
Biblioteca Digitais de Teses e Dissertações da USP |
publisher.none.fl_str_mv |
Biblioteca Digitais de Teses e Dissertações da USP |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Teses e Dissertações da USP instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Biblioteca Digital de Teses e Dissertações da USP |
collection |
Biblioteca Digital de Teses e Dissertações da USP |
repository.name.fl_str_mv |
Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
virginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.br |
_version_ |
1815256774233554944 |