Heuristics for multi-objective no-wait flow shops with sequence-dependent setup times

Detalhes bibliográficos
Autor(a) principal: Almeida, Fernando Siqueira de
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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spelling 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
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