A simulation-based approach to identify bottlenecks in the bearing manufacturing process
Main Article Content
Abstract
Flexible manufacturing processes improve profitability and competitiveness for the company through an efficient process, with quality in a short time, and contribute to achieving low costs. One of the approaches that have been currently developed to improve the flexible manufacturing process is simulation. Simulation models consist of an assertive and powerful tool in strategic planning. It permits a controlled way of the company's reality so that it was possible to study and analyze the organization's current situation under several circumstances without altering the production's physical environment and involving low costs. Accordingly, this study's primary purpose was to develop a simulation model to verify bottlenecks' existence in the bearing manufacturing process. For this, a case study is presented, and it was used modeling/simulation with Arena Software as a research method. The results showed no bottlenecks in the manufacturing process.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
1. Proposal of Policy for Free Access Periodics
Authors whom publish in this magazine should agree to the following terms:
a. Authors should keep the copyrights and grant to the magazine the right of the first publication, with the work simultaneously permitted under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 that allows the sharing of the work with recognition of the authorship of the work and initial publication in this magazine.
b. Authors should have authorization for assuming additional contracts separately, for non-exclusive distribution of the version of the work published in this magazine (e.g.: to publish in an institutional repository or as book chapter), with recognition of authorship and initial publication in this magazine.
c. Authors should have permission and should be stimulated to publish and to distribute its work online (e.g.: in institutional repositories or its personal page) to any point before or during the publishing process, since this can generate productive alterations, as well as increasing the impact and the citation of the published work (See The Effect of Free Access).
Proposal of Policy for Periodic that offer Postponed Free Access
Authors whom publish in this magazine should agree to the following terms:
a. Authors should keep the copyrights and grant to the magazine the right of the first publication, with the work simultaneously permitted under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 [SPECIFY TIME HERE] after the publication, allowing the sharing of the work with recognition of the authorship of the work and initial publication in this magazine.
b. Authors should have authorization for assuming additional contracts separately, for non-exclusive distribution of the version of the work published in this magazine (e.g.: to publish in institutional repository or as book chapter), with recognition of authorship and initial publication in this magazine.
c. Authors should have permission and should be stimulated to publish and to distribute its work online (e.g.: in institutional repositories or its personal page) to any point before or during the publishing process, since this can generate productive alterations, as well as increasing the impact and the citation of the published work (See The Effect of Free Access).
d. They allow some kind of open dissemination. Authors can disseminate their articles in open access, but with specific conditions imposed by the editor that are related to:
Version of the article that can be deposited in the repository:
Pre-print: before being reviewed by pairs.
Post-print: once reviewed by pairs, which can be:
The version of the author that has been accepted for publication.
The editor's version, that is, the article published in the magazine.
At which point the article can be made accessible in an open manner: before it is published in the magazine, immediately afterwards or if a period of seizure is required, which can range from six months to several years.
Where to leave open: on the author's personal web page, only departmental websites, the repository of the institution, the file of the research funding agency, among others.
References
Andrade-Gutierrez, E. S., Carranza-Bernal, S. Y., Hernandez-Sandoval, J., Gonzalez-Villarreal, A. J., & Berber-Solano, T. P. (2018). Optimization in a flexible die-casting engine-head plant via discrete event simulation. International Journal of Advanced Manufacturing Technology, 95(9–12), 4459–4468.
Banks, J. (1998). Principles of simulation. In: Handbook of simulation: principles, methodology, advances, applications and practice. Nova York.
Barnes, R. M. (1977). Estudo de movimentos e de tempos: projeto e medida do trabalho. São Paulo. Edgard Blücher.
Campos, C. C. S., da Encarnação, E., & da Silva, A. M. (2019). Simulação discreta aplicada à distribuição da alimentação escolar: Estudo de caso em uma escola pública. South American Development Society Journal, 5(14), 290.
Carneiro, P. H. W. & Nazaré, T. B. (2019). Otimização de processo e arranjo físico utilizando o software Arena como ferramenta da simulação computacional. Anais do XXVI do Simpósio de Engenharia de Produção, Bauru, SP, Brasil.
Cauchick Miguel, P. A., Fleury, A., Mello, C., Nakano, D. N., & Turrioni, J. B. (2010). Metodologia de pesquisa em engenharia de produção e gestão de operações. Rio de Janeiro: Elzevir.
Clementino, M. R., Silva, T. T. DA; Silva, A. M. DA; TanakA, W. Y., Zampini, E. D. F. (2018). Discrete simulation applied to a gas appliance company. Independent Journal of Management & Production, 9(5),699.
Da Costa, L. S., Lúcio, W. D. S., Da Silva, A. M., & Ferreira, W. D. P. (2017). Discrete simulation applied to the production process of electronic components. Independent Journal of Management & Production, 8(5), 596-613.
Dos Santos, R. S. B., Cajui, R. M. F., & Da Silva, A. M. (2020). Simulação a eventos discretos aplicada à gestão de filas em uma loja de tecidos. South American Development Society Journal, 6(17), 117.
Figueredo, S. R.A (2002). Introdução da Simulação como ferramenta de ensino e aprendizagem. Anais do XXII Encontro Nacional de Engenharia de Produção, Curitiba, PR, Brasil.
de Freitas Filho, P. J. (2001). Introdução à modelagem e simulação de sistemas: com aplicações em Arena. Visual Books..
Gavira, M. D. O. (2003). Simulação computacional como uma ferramenta de aquisição de conhecimento (Doctoral dissertation, Universidade de São Paulo).
Harrell, C., & Tumay, K. (1997). Simulation made easy: a manager's guide. Engineering & Management Press.
Harrington, H. J., & Tumay, K. (2000). Simulation modeling methods (Vol. 8). McGraw Hill Professional.
Kelton, W.D., Sadowski, R.P., Swets, N.B. (2010). Simulation with Arena. 5 ed. New York: McGraw-Hill.
Kumar, G., & Bisoniya, T. S. (2015). The simulation optimization of a flexible manufacturing system with Arena. Int J Eng Res Technol, 4, 755-760.
Martins, P., Laugeni, F. (2005). Administração da Produção. São Paulo: Saraiva.
Montalvão, D. N. & Oliveira, G. E. S. (2020, Outubro). Estudos de tempos e simulação computacional na fábrica de salgados delícias de Mainha. Anais do XL Encontro Nacional de Engenharia de Produção (ENEGEP 2020). Foz do Iguaçú, PR, Brasil.
Moraes, D. G., & Silva, A. M. (2021). Simulação discreta aplicada à gestão de filas no varejo. Exacta, vol. 19, n.3.
Motlagh, M. M., Azimi, P., Amiri, M., & Madraki, G. (2019). An efficient simulation optimization methodology to solve a multi-objective problem in unreliable unbalanced production lines. Expert Systems with Applications, 138, 112836..
NSK. Rolamentos. Disponível em: <http://www.nsk.com.br/upload/file/Cat%C3%A1logo%20Geral%20NSK(1).pdf> Acesso em 23 de novembro de 2020.
Peinado, J., & Graeml, A. R. (2007). Administração da produção: Operações industriais e de serviços. Unicenp.
Pereira Junior, J. V., Da Silva, A. M., & Moraes, D. G. (2020). Discrete simulation applied to queue management in a supermarket. Independent Journal of Management & Production, 11(5), 1667-1684.
Prado, D. (2010). Usando o Arena em simulação. Nova Lima: INDG-Tecnologia e Serviços LTDA.
Prado, A. S. & Paixão J. N. V. (2019, Novembro). Utilização de simulação computacional para análise de melhoria a serem aplicadas em uma linha de montagem de cadeiras de rodas. Anais do XXVI do Simpósio de Engenharia de Produção, Bauru, SP , Brasil.
Santos, A. P. A. D., Batista, F. R. R., Pinto, J. D. O., & Benini, L. (2017). Processos de fabricação: rolamentos rígidos de esferas..
SKF (2020). Rolamentos de esferas, 2015. Disponível em: < https://www.skf.com/binaries/pub45/Images/0901d19680416a2b-10000_2-PT-BR---Rolling-bearings_tcm_45-121486.pdf> Acesso em 23 nov. 2020.
Souza, G. (2020). Rolamento: o que é, quais são as suas aplicações e modelos existentes?. Disponível em: <https://blog.acoplastbrasil.com.br/o-que-sao-rolamentos/> Acesso em 23 nov. 2020.
Um, I., Cheon, H., & Lee, H. (2009). The simulation design and analysis of a flexible manufacturing system with automated guided vehicle system. Journal of Manufacturing Systems, 28(4), 115-122.
Żywicki, K., & Rewers, P. (2020). A simulation-based approach to study the influence of different production flows on manufacturing of customized products. Advances in Production Engineering & Management, 15(4).