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A human centred hybrid MAS and meta-heuristics based system for simultaneously supporting scheduling and plant layout adjustment

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Resumo:Manufacturing activities and production control are constantly growing. Despite this, it is necessary to improve the increasing variety of scheduling and layout adjustments for dynamic and flexible responses in volatile environments with disruptions or failures. Faced with the lack of realistic and practical manufacturing scenarios, this approach allows simulating and solving the problem of job shop scheduling on a production system by taking advantage of genetic algorithm and particle swarm optimization algorithm combined with the flexibility and robustness of a multi-agent system and dynamic rescheduling alternatives. Therefore, this hybrid decision support system intends to obtain optimized solutions and enable humans to interact with the system to properly adjust priorities or refine setups or solutions, in an interactive and user-friendly way. The system allows to evaluate the optimization performance of each one of the algorithms proposed, as well as to obtain decentralization in responsiveness and dynamic decisions for rescheduling due to the occurance of unexpected events.
Autores principais:Alves, Filipe
Outros Autores:Varela, Maria Leonilde R.; Rocha, Ana Maria A.C.; Pereira, Ana I.; Leitão, Paulo
Assunto:Human-centred Industry 4.0 Metaheuristics Multi-agent system Optimization Scheduling
Ano:2019
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Alves, Filipe
author2 Varela, Maria Leonilde R.
Rocha, Ana Maria A.C.
Pereira, Ana I.
Leitão, Paulo
author2_role author
author
author
author
author_facet Alves, Filipe
Varela, Maria Leonilde R.
Rocha, Ana Maria A.C.
Pereira, Ana I.
Leitão, Paulo
author_role author
contributor_name_str_mv Biblioteca Digital do IPB
country_str PT
creators_json_str [{\"Person.name\":\"Alves, Filipe\",\"Person.identifier.orcid\":\"0000-0002-8387-391X\"},{\"Person.name\":\"Varela, Maria Leonilde R.\"},{\"Person.name\":\"Rocha, Ana Maria A.C.\"},{\"Person.name\":\"Pereira, Ana I.\",\"Person.identifier.orcid\":\"0000-0003-3803-2043\"},{\"Person.name\":\"Leitão, Paulo\",\"Person.identifier.orcid\":\"0000-0002-2151-7944\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Alves, Filipe
Varela, Maria Leonilde R.
Rocha, Ana Maria A.C.
Pereira, Ana I.
Leitão, Paulo
datacite.date.Accepted.fl_str_mv 2019-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2018-01-19T10:00:00Z
datacite.date.embargoed.fl_str_mv 2018-01-19T10:00:00Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Human-centred
Industry 4.0
Metaheuristics
Multi-agent system
Optimization
Scheduling
datacite.titles.title.fl_str_mv A human centred hybrid MAS and meta-heuristics based system for simultaneously supporting scheduling and plant layout adjustment
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Alves, Filipe
Varela, Maria Leonilde R.
Rocha, Ana Maria A.C.
Pereira, Ana I.
Leitão, Paulo
dc.date.Accepted.fl_str_mv 2019-01-01T00:00:00Z
dc.date.available.fl_str_mv 2018-01-19T10:00:00Z
dc.date.embargoed.fl_str_mv 2018-01-19T10:00:00Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/20114
dc.language.none.fl_str_mv eng
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Human-centred
Industry 4.0
Metaheuristics
Multi-agent system
Optimization
Scheduling
dc.title.fl_str_mv A human centred hybrid MAS and meta-heuristics based system for simultaneously supporting scheduling and plant layout adjustment
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description Manufacturing activities and production control are constantly growing. Despite this, it is necessary to improve the increasing variety of scheduling and layout adjustments for dynamic and flexible responses in volatile environments with disruptions or failures. Faced with the lack of realistic and practical manufacturing scenarios, this approach allows simulating and solving the problem of job shop scheduling on a production system by taking advantage of genetic algorithm and particle swarm optimization algorithm combined with the flexibility and robustness of a multi-agent system and dynamic rescheduling alternatives. Therefore, this hybrid decision support system intends to obtain optimized solutions and enable humans to interact with the system to properly adjust priorities or refine setups or solutions, in an interactive and user-friendly way. The system allows to evaluate the optimization performance of each one of the algorithms proposed, as well as to obtain decentralization in responsiveness and dynamic decisions for rescheduling due to the occurance of unexpected events.
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person_str_mv Alves, Filipe
Alves, Filipe
https://www.ciencia-id.pt/DF1B-F14B-A8BC
DF1B-F14B-A8BC
http://orcid.org/0000-0002-8387-391X
0000-0002-8387-391X
Varela, Maria Leonilde R.
Rocha, Ana Maria A.C.
Pereira, Ana I.
Pereira, Ana I.
https://www.ciencia-id.pt/0716-B7C2-93E4
0716-B7C2-93E4
http://orcid.org/0000-0003-3803-2043
0000-0003-3803-2043
Leitão, Paulo
Leitão, Paulo
https://www.ciencia-id.pt/8316-8F13-DA71
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spelling engManufacturing activities and production control are constantly growing. Despite this, it is necessary to improve the increasing variety of scheduling and layout adjustments for dynamic and flexible responses in volatile environments with disruptions or failures. Faced with the lack of realistic and practical manufacturing scenarios, this approach allows simulating and solving the problem of job shop scheduling on a production system by taking advantage of genetic algorithm and particle swarm optimization algorithm combined with the flexibility and robustness of a multi-agent system and dynamic rescheduling alternatives. Therefore, this hybrid decision support system intends to obtain optimized solutions and enable humans to interact with the system to properly adjust priorities or refine setups or solutions, in an interactive and user-friendly way. The system allows to evaluate the optimization performance of each one of the algorithms proposed, as well as to obtain decentralization in responsiveness and dynamic decisions for rescheduling due to the occurance of unexpected events.application/pdfen_ENA human centred hybrid MAS and meta-heuristics based system for simultaneously supporting scheduling and plant layout adjustmentPersonalAlves, FilipeDSpacehttp://dspace.org/items/200d05f8-7834-47d4-872d-1b6b82a323d2DSpacehttp://dspace.org/items/200d05f8-7834-47d4-872d-1b6b82a323d2AlvesFilipeCiência IDhttps://www.ciencia-id.ptDF1B-F14B-A8BCORCIDhttp://orcid.org0000-0002-8387-391XResearcher IDhttps://www.researcherid.comV-5791-2017Scopus Author IDhttps://www.scopus.com57195267974Varela, Maria Leonilde R.Rocha, Ana Maria A.C.PersonalPereira, Ana I.DSpacehttp://dspace.org/items/e9981d62-2a2b-4fef-b75e-c2a14b0e7846DSpacehttp://dspace.org/items/e9981d62-2a2b-4fef-b75e-c2a14b0e7846PereiraAna I.Ciência IDhttps://www.ciencia-id.pt0716-B7C2-93E4ORCIDhttp://orcid.org0000-0003-3803-2043Researcher IDhttps://www.researcherid.comF-3168-2010Scopus Author IDhttps://www.scopus.com15071961600PersonalLeitão, PauloDSpacehttp://dspace.org/items/68d9eb25-ad4f-439b-aeb2-35e8708644ccDSpacehttp://dspace.org/items/68d9eb25-ad4f-439b-aeb2-35e8708644ccLeitãoPauloCiência IDhttps://www.ciencia-id.pt8316-8F13-DA71ORCIDhttp://orcid.org0000-0002-2151-7944Scopus Author IDhttps://www.scopus.com35584388900HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISSNIsPartOf1451-2092DOIIsPartOf10.5937/fmet1904699A2018-01-19T10:00:00Z20192019-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/20114http://purl.org/coar/access_right/c_abf2open accessHuman-centredIndustry 4.0MetaheuristicsMulti-agent systemOptimizationScheduling927351 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/7f83a9d9-331a-4769-a1b3-93e359fcf912/download
spellingShingle A human centred hybrid MAS and meta-heuristics based system for simultaneously supporting scheduling and plant layout adjustment
Alves, Filipe
Human-centred
Industry 4.0
Metaheuristics
Multi-agent system
Optimization
Scheduling
subject.fl_str_mv Human-centred
Industry 4.0
Metaheuristics
Multi-agent system
Optimization
Scheduling
title A human centred hybrid MAS and meta-heuristics based system for simultaneously supporting scheduling and plant layout adjustment
title_full A human centred hybrid MAS and meta-heuristics based system for simultaneously supporting scheduling and plant layout adjustment
title_fullStr A human centred hybrid MAS and meta-heuristics based system for simultaneously supporting scheduling and plant layout adjustment
title_full_unstemmed A human centred hybrid MAS and meta-heuristics based system for simultaneously supporting scheduling and plant layout adjustment
title_short A human centred hybrid MAS and meta-heuristics based system for simultaneously supporting scheduling and plant layout adjustment
title_sort A human centred hybrid MAS and meta-heuristics based system for simultaneously supporting scheduling and plant layout adjustment
topic Human-centred
Industry 4.0
Metaheuristics
Multi-agent system
Optimization
Scheduling
topic_facet Human-centred
Industry 4.0
Metaheuristics
Multi-agent system
Optimization
Scheduling
url http://hdl.handle.net/10198/20114
visible 1