Sequencing multi-mixed-model assembly lines: An approach via clustering search
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/220605 |
Resumo: | Since lean manufacturing concepts have been adopted, several studies dealing with the effective utilization of Mixed-Model Assembly Lines (MMAL) have focused on the sequencing of such lines. The MMAL must have flexibility to produce different models in given sequences and obtain benefits, such as constant consumption of parts or subassemblies, thus minimizing the scaling of Kanban, the intermediate stocks, and the workload level at each station to minimize line stoppages. In situations where it is possible to produce many different models, production based on market forecast becomes unviable, even with the use of computational resources, which makes the products' sequencing in the MMAL a differential. This paper deals with the MMAL in multiple lines in a lean manufacturing environment, where an operational structure of several domestic suppliers supports many MMAL simultaneously, so that all the assembly lines can receive parts or sub-assembly from all the suppliers. To optimize this system, the sequencing must seek to minimize the distance between the real consumption and the constant ideal consumption of parts or subassemblies, thereby reducing the scaling of Kanban and intermediate stocks. To solve the sequencing problems, the Clustering Search (CS) was applied. Instances from the literature and also generated instances were tested, thus allowing to comparing the method with other methods presented in the literature. Analysing the results obtained, it was observed that the CS was efficient, obtaining good solutions in less time. |
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Sequencing multi-mixed-model assembly lines: An approach via clustering searchClustering searchMulti-mixed-model assembly linesSequencingSince lean manufacturing concepts have been adopted, several studies dealing with the effective utilization of Mixed-Model Assembly Lines (MMAL) have focused on the sequencing of such lines. The MMAL must have flexibility to produce different models in given sequences and obtain benefits, such as constant consumption of parts or subassemblies, thus minimizing the scaling of Kanban, the intermediate stocks, and the workload level at each station to minimize line stoppages. In situations where it is possible to produce many different models, production based on market forecast becomes unviable, even with the use of computational resources, which makes the products' sequencing in the MMAL a differential. This paper deals with the MMAL in multiple lines in a lean manufacturing environment, where an operational structure of several domestic suppliers supports many MMAL simultaneously, so that all the assembly lines can receive parts or sub-assembly from all the suppliers. To optimize this system, the sequencing must seek to minimize the distance between the real consumption and the constant ideal consumption of parts or subassemblies, thereby reducing the scaling of Kanban and intermediate stocks. To solve the sequencing problems, the Clustering Search (CS) was applied. Instances from the literature and also generated instances were tested, thus allowing to comparing the method with other methods presented in the literature. Analysing the results obtained, it was observed that the CS was efficient, obtaining good solutions in less time.Departamento de Produção Universidade Estadual PaulistaInstituto de Ciência e Tecnologia Universidade Federal de São PauloFaculdade de TecnologiaInstituto de Engenharia de Produção e Gestão Universidade Federal de ItajubáDepartamento de Produção Universidade Estadual PaulistaUniversidade Estadual Paulista (UNESP)Universidade Federal de São Paulo (UNIFESP)Faculdade de TecnologiaUniversidade Federal de ItajubáUshizima, M. M. [UNESP]Marins, F. A.S. [UNESP]Chaves, A. A.Sanches, A. L.Montevechi, J. A.B.2022-04-28T19:03:30Z2022-04-28T19:03:30Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectProceedings - CIE 45: 2015 International Conference on Computers and Industrial Engineering.http://hdl.handle.net/11449/2206052-s2.0-84963656294Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings - CIE 45: 2015 International Conference on Computers and Industrial Engineeringinfo:eu-repo/semantics/openAccess2022-04-28T19:03:30Zoai:repositorio.unesp.br:11449/220605Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:03:30Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Sequencing multi-mixed-model assembly lines: An approach via clustering search |
title |
Sequencing multi-mixed-model assembly lines: An approach via clustering search |
spellingShingle |
Sequencing multi-mixed-model assembly lines: An approach via clustering search Ushizima, M. M. [UNESP] Clustering search Multi-mixed-model assembly lines Sequencing |
title_short |
Sequencing multi-mixed-model assembly lines: An approach via clustering search |
title_full |
Sequencing multi-mixed-model assembly lines: An approach via clustering search |
title_fullStr |
Sequencing multi-mixed-model assembly lines: An approach via clustering search |
title_full_unstemmed |
Sequencing multi-mixed-model assembly lines: An approach via clustering search |
title_sort |
Sequencing multi-mixed-model assembly lines: An approach via clustering search |
author |
Ushizima, M. M. [UNESP] |
author_facet |
Ushizima, M. M. [UNESP] Marins, F. A.S. [UNESP] Chaves, A. A. Sanches, A. L. Montevechi, J. A.B. |
author_role |
author |
author2 |
Marins, F. A.S. [UNESP] Chaves, A. A. Sanches, A. L. Montevechi, J. A.B. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Universidade Federal de São Paulo (UNIFESP) Faculdade de Tecnologia Universidade Federal de Itajubá |
dc.contributor.author.fl_str_mv |
Ushizima, M. M. [UNESP] Marins, F. A.S. [UNESP] Chaves, A. A. Sanches, A. L. Montevechi, J. A.B. |
dc.subject.por.fl_str_mv |
Clustering search Multi-mixed-model assembly lines Sequencing |
topic |
Clustering search Multi-mixed-model assembly lines Sequencing |
description |
Since lean manufacturing concepts have been adopted, several studies dealing with the effective utilization of Mixed-Model Assembly Lines (MMAL) have focused on the sequencing of such lines. The MMAL must have flexibility to produce different models in given sequences and obtain benefits, such as constant consumption of parts or subassemblies, thus minimizing the scaling of Kanban, the intermediate stocks, and the workload level at each station to minimize line stoppages. In situations where it is possible to produce many different models, production based on market forecast becomes unviable, even with the use of computational resources, which makes the products' sequencing in the MMAL a differential. This paper deals with the MMAL in multiple lines in a lean manufacturing environment, where an operational structure of several domestic suppliers supports many MMAL simultaneously, so that all the assembly lines can receive parts or sub-assembly from all the suppliers. To optimize this system, the sequencing must seek to minimize the distance between the real consumption and the constant ideal consumption of parts or subassemblies, thereby reducing the scaling of Kanban and intermediate stocks. To solve the sequencing problems, the Clustering Search (CS) was applied. Instances from the literature and also generated instances were tested, thus allowing to comparing the method with other methods presented in the literature. Analysing the results obtained, it was observed that the CS was efficient, obtaining good solutions in less time. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01 2022-04-28T19:03:30Z 2022-04-28T19:03:30Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Proceedings - CIE 45: 2015 International Conference on Computers and Industrial Engineering. http://hdl.handle.net/11449/220605 2-s2.0-84963656294 |
identifier_str_mv |
Proceedings - CIE 45: 2015 International Conference on Computers and Industrial Engineering. 2-s2.0-84963656294 |
url |
http://hdl.handle.net/11449/220605 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Proceedings - CIE 45: 2015 International Conference on Computers and Industrial Engineering |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1803649365244379136 |