Impact analysis of flow variability in sizing kanbans

Detalhes bibliográficos
Autor(a) principal: Pergher, Isaac
Data de Publicação: 2014
Outros Autores: da Silva, Luciano Auad, de Jesus Pacheco, Diego Augusto, Vaccaro, Guilherme Luis Roehe
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Produção Online
Texto Completo: https://www.producaoonline.org.br/rpo/article/view/1542
Resumo: The aim of this paper is to analyze the effects of variability flow, advocated by Factory Physics, in sizing Kanban production systems. The variability of flow presupposes that the variability of activities performed by a process is dissipated throughout the productive flow system, causing variations in the lead time, the work-in-process levels and the equipment availability, among others. To conduct the research, we created a didactic model of discrete event computer simulation. The proposed model aims to present the possible impacts caused by the variability flow in a production system regarding the sizing of the number of Kanbans cards, by using the results supplied by two different investigated scenarios. The main results of the research allow concluding that, by comparing the two scenarios developed in the model, the presence of variability in the production system caused an average increase of 32% in the number of Kanban cards (p=0,000). This implies that, in real productive systems, the study of Kanban sizing should consider the variability of individual operations, a fact often relegated as an assumption in the formulation from classical literature on the definition of the number of Kanbans, thus providing opportunities for the development of future research.
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spelling Impact analysis of flow variability in sizing kanbansAnálise do impacto da variabilidade de fluxo no dimensionamento de kanbansKanbanFlow Variability. Modeling. Computer Simulation. Factory Physics.Kanban. Variabilidade de Fluxo. Modelagem. Simulação Computacional. Factory Physics.The aim of this paper is to analyze the effects of variability flow, advocated by Factory Physics, in sizing Kanban production systems. The variability of flow presupposes that the variability of activities performed by a process is dissipated throughout the productive flow system, causing variations in the lead time, the work-in-process levels and the equipment availability, among others. To conduct the research, we created a didactic model of discrete event computer simulation. The proposed model aims to present the possible impacts caused by the variability flow in a production system regarding the sizing of the number of Kanbans cards, by using the results supplied by two different investigated scenarios. The main results of the research allow concluding that, by comparing the two scenarios developed in the model, the presence of variability in the production system caused an average increase of 32% in the number of Kanban cards (p=0,000). This implies that, in real productive systems, the study of Kanban sizing should consider the variability of individual operations, a fact often relegated as an assumption in the formulation from classical literature on the definition of the number of Kanbans, thus providing opportunities for the development of future research.O objetivo deste artigo é analisar os efeitos da variabilidade de fluxo, preconizada pela Factory Physics, no dimensionamento de Kanban em sistemas produtivos. A variabilidade de fluxo pressupõe que a variabilidade existente nas atividades executadas por um processo é dissipada ao longo de todo o fluxo produtivo do sistema, causando variações no lead time, no nível de estoques em processo e na disponibilidade de equipamentos, entre outros. Para conduzir a investigação, foi criado um modelo didático de simulação computacional por eventos discretos. O modelo proposto visa apresentar os possíveis impactos provocados pela variabilidade de fluxo no sistema produtivo no dimensionamento do número de cartões Kanban, a partir dos resultados fornecidos por dois cenários distintos investigados. Os principais resultados da pesquisa permitem evidenciar que, comparando os dois cenários desenvolvidos para o modelo, a presença de variabilidade no sistema produtivo causou um aumento médio de 32% no número de cartões Kanban (p=0,000). Isso implica que, em sistemas produtivos reais, o estudo de dimensionamento de Kanbans deveria contemplar as variabilidades individuais das operações, fato por vezes relegado a um pressuposto na formulação da literatura que trata da definição do número de Kanbans, oportunizando assim o desenvolvimento de pesquisas futuras nesse sentido.Associação Brasileira de Engenharia de Produção2014-02-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfaudio/mpeghttps://www.producaoonline.org.br/rpo/article/view/154210.14488/1676-1901.v14.i1.1542Revista Produção Online; Vol. 14 No. 1 (2014); 115-142Revista Produção Online; v. 14 n. 1 (2014); 115-1421676-1901reponame:Revista Produção Onlineinstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROporhttps://www.producaoonline.org.br/rpo/article/view/1542/1107https://www.producaoonline.org.br/rpo/article/view/1542/1106Copyright (c) 2014 Revista Produção Onlineinfo:eu-repo/semantics/openAccessPergher, Isaacda Silva, Luciano Auadde Jesus Pacheco, Diego AugustoVaccaro, Guilherme Luis Roehe2015-11-11T17:25:37Zoai:ojs.emnuvens.com.br:article/1542Revistahttp://producaoonline.org.br/rpoPUBhttps://www.producaoonline.org.br/rpo/oai||producaoonline@gmail.com1676-19011676-1901opendoar:2015-11-11T17:25:37Revista Produção Online - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv Impact analysis of flow variability in sizing kanbans
Análise do impacto da variabilidade de fluxo no dimensionamento de kanbans
title Impact analysis of flow variability in sizing kanbans
spellingShingle Impact analysis of flow variability in sizing kanbans
Pergher, Isaac
Kanban
Flow Variability. Modeling. Computer Simulation. Factory Physics.
Kanban. Variabilidade de Fluxo. Modelagem. Simulação Computacional. Factory Physics.
title_short Impact analysis of flow variability in sizing kanbans
title_full Impact analysis of flow variability in sizing kanbans
title_fullStr Impact analysis of flow variability in sizing kanbans
title_full_unstemmed Impact analysis of flow variability in sizing kanbans
title_sort Impact analysis of flow variability in sizing kanbans
author Pergher, Isaac
author_facet Pergher, Isaac
da Silva, Luciano Auad
de Jesus Pacheco, Diego Augusto
Vaccaro, Guilherme Luis Roehe
author_role author
author2 da Silva, Luciano Auad
de Jesus Pacheco, Diego Augusto
Vaccaro, Guilherme Luis Roehe
author2_role author
author
author
dc.contributor.author.fl_str_mv Pergher, Isaac
da Silva, Luciano Auad
de Jesus Pacheco, Diego Augusto
Vaccaro, Guilherme Luis Roehe
dc.subject.por.fl_str_mv Kanban
Flow Variability. Modeling. Computer Simulation. Factory Physics.
Kanban. Variabilidade de Fluxo. Modelagem. Simulação Computacional. Factory Physics.
topic Kanban
Flow Variability. Modeling. Computer Simulation. Factory Physics.
Kanban. Variabilidade de Fluxo. Modelagem. Simulação Computacional. Factory Physics.
description The aim of this paper is to analyze the effects of variability flow, advocated by Factory Physics, in sizing Kanban production systems. The variability of flow presupposes that the variability of activities performed by a process is dissipated throughout the productive flow system, causing variations in the lead time, the work-in-process levels and the equipment availability, among others. To conduct the research, we created a didactic model of discrete event computer simulation. The proposed model aims to present the possible impacts caused by the variability flow in a production system regarding the sizing of the number of Kanbans cards, by using the results supplied by two different investigated scenarios. The main results of the research allow concluding that, by comparing the two scenarios developed in the model, the presence of variability in the production system caused an average increase of 32% in the number of Kanban cards (p=0,000). This implies that, in real productive systems, the study of Kanban sizing should consider the variability of individual operations, a fact often relegated as an assumption in the formulation from classical literature on the definition of the number of Kanbans, thus providing opportunities for the development of future research.
publishDate 2014
dc.date.none.fl_str_mv 2014-02-15
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv https://www.producaoonline.org.br/rpo/article/view/1542
10.14488/1676-1901.v14.i1.1542
url https://www.producaoonline.org.br/rpo/article/view/1542
identifier_str_mv 10.14488/1676-1901.v14.i1.1542
dc.language.iso.fl_str_mv por
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dc.relation.none.fl_str_mv https://www.producaoonline.org.br/rpo/article/view/1542/1107
https://www.producaoonline.org.br/rpo/article/view/1542/1106
dc.rights.driver.fl_str_mv Copyright (c) 2014 Revista Produção Online
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2014 Revista Produção Online
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
audio/mpeg
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
dc.source.none.fl_str_mv Revista Produção Online; Vol. 14 No. 1 (2014); 115-142
Revista Produção Online; v. 14 n. 1 (2014); 115-142
1676-1901
reponame:Revista Produção Online
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
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instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
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institution ABEPRO
reponame_str Revista Produção Online
collection Revista Produção Online
repository.name.fl_str_mv Revista Produção Online - Associação Brasileira de Engenharia de Produção (ABEPRO)
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