Aplicação de redefinição de layout e simulação computacional em ambiente fabril

Andressa Clara Barbosa de Araujo; Kalil Figueiredo Almeida; André de Mendonça Santos; Riany Araujo dos Santos; Óliver Silva Costa Barreto; Djoille Denner Damm

doi:10.47456/bjpe.v11i4.49859

Authors

Andressa Clara Barbosa de Araujo Universidade Federal do Recôncavo da Bahia - UFRB Author https://orcid.org/0000-0002-1734-506X
Kalil Figueiredo Almeida Universidade Federal do Recôncavo da Bahia - UFRB Author https://orcid.org/0000-0002-3954-5708
André de Mendonça Santos Universidade Federal do Recôncavo da Bahia - UFRB Author https://orcid.org/0000-0002-3887-0189
Riany Araujo dos Santos Universidade Federal do Recôncavo da Bahia Author https://orcid.org/0009-0009-5547-3335
Óliver Silva Costa Barreto Universidade Federal do Recôncavo da Bahia - UFRB Author https://orcid.org/0000-0002-0215-9424
Djoille Denner Damm Universidade Federal do Recôncavo da Bahia - UFRB Author https://orcid.org/0000-0002-3584-0638

DOI:

https://doi.org/10.47456/bjpe.v11i4.49859

Keywords:

modeling and simulation, chronoanalysis, layout redefinition

Abstract

The physical layout of an industrial plant is a determining factor for the efficiency of production processes, directly impacting productivity, operating costs, and operational variability. This article presents a layout optimization study using layout redefinition and computer simulation, applied to a garment manufacturing plant located in the gateway to the Bahia backlands. The methodology involved analyzing the current situation, mapping material flows, developing a proposed simulation model, and developing a layout alternative. Tecnomatix Plant Simulation software was used to evaluate the proposal, enabling modeling of the production flow and quantification of the gains obtained. The results indicated reduced variability in processing times, reduced lead time, and significant improvements in organization and operational comfort. The combined application of layout redefinition and computer simulation proved effective in identifying bottlenecks and streamlining production spaces, contributing to increased shop floor efficiency in the production flow under analysis. The study reinforces the importance of integrating classical production engineering methods with computer decision-making technologies.

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Author Biographies

Andressa Clara Barbosa de Araujo, Universidade Federal do Recôncavo da Bahia - UFRB

Master's student in the Industrial Engineering Program (PEI) at the Federal University of Bahia (UFBA). Researcher in Digital Twin for manufacturing systems and Industry 4.0, focusing on optimization, continuous improvement, and process digitization. Holds a Bachelor's degree in Production Engineering from the Federal University of Recôncavo da Bahia (2023) and a Bachelor's degree in Interdisciplinary Energy and Sustainability from the Federal University of Recôncavo da Bahia (2022). During her undergraduate studies, she was a scholarship recipient in Technological Development and Innovation for the Lean Healthcare project applied to the health sector in Feira de Santana (2022-2023), a scholarship recipient in Scientific Initiation for the Lean Healthcare project applied to the health sector in Feira de Santana (2021-2022), and a scholarship recipient in Scientific Initiation for the research project Study of the preparation of biodegradable polymers using agricultural waste (2017-2018).
Kalil Figueiredo Almeida, Universidade Federal do Recôncavo da Bahia - UFRB

Graduated in Production and Systems Engineering from the State University of Santa Cruz (2012) and holds a master's degree in Science, Innovation and Modeling in Materials from the State University of Santa Cruz (2016). Currently, he is a Professor and Coordinator of the Production Engineering Course at the Federal University of Recôncavo da Bahia (UFRB), CETENS Campus. He has experience in the field of Production Engineering, with an emphasis on Process Engineering, mainly working on the following topics: modeling, simulation, process optimization, standardized work, and process mapping.
André de Mendonça Santos, Universidade Federal do Recôncavo da Bahia - UFRB

Adjunct Professor at the Federal University of Recôncavo da Bahia in the Production Engineering and Interdisciplinary Bachelor's Degree in Engineering and Sustainability programs, in the area of Project/Service Management. Production Engineer graduated from the State University of Santa Cruz (UESC). Master's degree in Science, Innovation and Modeling in Materials from UESC. PhD in Industrial Engineering from the Federal University of Bahia (UFBA). I have experience in the area of Production Engineering, mainly working on the following topics: process simulation and optimization, Service Management and Industry 4.0. I also have experience in the area of Chemical Engineering, having worked on research lines in the following areas: Polymer composites reinforced with natural fibers and methods of corrosion prevention in metallic materials.
Riany Araujo dos Santos, Universidade Federal do Recôncavo da Bahia

Undergraduate student in Production Engineering and Interdisciplinary Studies in Energy and Sustainability at the Federal University of Recôncavo da Bahia. Scholarship recipient in Research in Analysis and Simulations of industrial processes in the Feira de Santana region - BA.
Óliver Silva Costa Barreto, Universidade Federal do Recôncavo da Bahia - UFRB

Bachelor's degree in Production Engineering from the State University of Santa Cruz (UESC) in Bahia. Emphasis on the areas of: Sustainability Engineering, Materials Science, Production Planning and Control, and Production Engineering Education. Master's degree in Science, Innovation and Modeling in Materials (PPG PROCIMM) with emphasis on research and development of new materials for biomass conversion, from the Bioenergy and Environment group laboratory (BIOMA) at the State University of Santa Cruz. PhD in Industrial Management and Technology (PPG GETEC) from SENAI CIMATEC with emphasis on environmental performance in industry. Currently, he is an adjunct professor at the Federal University of Recôncavo da Bahia (UFRB) in the Center for Science and Technology in Energy and Sustainability (CETENS).
Djoille Denner Damm, Universidade Federal do Recôncavo da Bahia - UFRB

He works as an adjunct professor in the Production Engineering course at the Center for Science and Technology in Energy and Sustainability (CETENS) of the Federal University of Recôncavo da Bahia (UFRB). He holds a doctorate in Engineering and Materials Science from UNIFESP. He has a master's degree in Science, Innovation and Modeling in Materials from the State University of Santa Cruz (2016) and a bachelor's degree in Production and Systems Engineering from the State University of Santa Cruz (2012). He has professional experience in the chemical industry of pulp bleaching. In the area of Production Engineering, he has worked with the Planning, Design and Control of Production Systems and with the following themes: development and improvement of production processes, lean manufacturing, process management, situational leadership and management of resources, costs and people. In the field of scientific research, the following topics are covered: aluminum scrap reuse, polymeric fiber and resin composites, diamond film deposition by carbon vapor deposition (CVD), carbide deposition through reactive thermal diffusion (RTD), carbide deposition through laser cladding (LC), reactive thermal diffusion (RTD), interface characterization and analysis, surface engineering, and surface tribology.

References

Alencar, I. S. de. (2024). Impacto do Systematic Layout Planning (SLP) nas indústrias (Trabalho de Conclusão de Curso, Bacharelado em Engenharia de Produção). Universidade Federal de Alagoas, Delmiro Gouveia, AL, Brasil. Recuperado de http://www.repositorio.ufal.br/jspui/handle/123456789/15178

Barnes, R. M. (2004). Estudo de movimentos e de tempos: Projeto e medida do trabalho (6. ed.). São Paulo: Editora São Paulo.

Borges, R. L. (2022). Simulação de fluxos para otimização de linha de produção de peças automotivas (Trabalho de Conclusão de Curso, Graduação em Engenharia de Produção). Universidade Tecnológica Federal do Paraná, Ponta Grossa, PR, Brasil. Recuperado de https://repositorio.utfpr.edu.br/jspui/handle/1/32832

Cândido, C. E., Ferreira, R. S. da., & Barbosa, M. L. (2014). A reorganização do layout como estratégia de otimização da produção. Gestão da Produção, Operações e Sistemas, 9(2), 39-154. Recuperado de https://revista.feb.unesp.br/gepros/article/download/1126/583/3776.

Costa, A. S. (2022). Análise e melhoria de layout em uma indústria náutica utilizando simulação computacional (Trabalho de Conclusão de Curso, Graduação em Engenharia de Produção). Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil. Recuperado de https://repositorio.ufsc.br/handle/123456789/237627

Frigotto, F., Corso, L. L., & Vacaro, T. (2020). Aplicação de simulação computacional para validar o balanceamento de uma linha de produção: estudo de caso em uma empresa do ramo metalmecânico. Scientia cum Industria, 8(2), 187-197.

Lima, J. F. de., Júnior, J. V. L. de S., Silva, D. R. de S., Ferreira, E. V. G., & Gonçalves, P. A. (2020). Aplicação da cronoanálise em processos industriais. Revista Mangaio Acadêmico, 5(1), 81-106.

Marques, M. A. dos S., & Salgado, C. C. R. (2021). Systematic Layout Planning (SLP) para melhoria do arranjo físico de um ambiente de produção de joias. Exacta, 19(2), 1-15. https://doi.org/10.5585/exactaep.2021.19329

Monostori, L., et al. (2010). Digital enterprise solution for integrated production planning and control. Computers in Industry, 61(2), 112-126.

Montgomery, D. C. (2021). Estatística aplicada e probabilidade para engenheiros. Rio de Janeiro: LTC.

Moreira, D. A. (2014). Administração da produção e operações (2a ed.). São Paulo: Cengage Learning.

Pinheiro, T. R., et al. (2024). Estimativa de parâmetros de modelos não-lineares usando o EMSO, um programa de código aberto para modelagem, simulação, controle e otimização de processos. Latin American Journal of Energy Research, 11(1), 37-44. https://doi.org/10.21712/lajer.2024.v11.n1.p37-44

Rodrigues, T. V., Queiroz, L. M. S., Ferreira Jr., J. da S., Sanjulião, L.-R. K. A. F., & Oliveira, N. P. (2020). Simulation layout proposal in a brazilian textile industry : proposta de layout de simulação em uma indústria têxtil brasileira. Brazilian Journal of Production Engineering, 6(5), 10-23. Recuperado de https://periodicos.ufes.br/bjpe/article/view/31185

Santos, M. P. dos. (1999). Introdução à simulação discreta. Rio de Janeiro: Universidade Federal do Rio de Janeiro.

Siemens. (2010). Plant Simulation Basics, Methods and Strategies (Version 9.0.1). [S.l.]: [s.n.].

Siemens. (2022). Tecnomatix Plant Simulation (Version 2201). [S.l.]: [s.n.].

Silva, C. R., et al. (2025). Uso da modelagem baseada em agentes no estudo de sistemas complexos. Revista Brasileira de Ensino de Física, 47, e20240464. https://doi.org/10.1590/1806-9126-RBEF-2024-0464

Silva, G. B., et al. (2018). Cronoanálise em uma confeitaria: aplicação e interpretação de resultados. In Anais do Encontro Nacional de Engenharia de Produção – ENEGEP (38., 2018, Maceió). Maceió: Abepro. Recuperado de https://d1wqtxts1xzle7.cloudfront.net/

Silva, R. N. da., Freitas, A. de. O., Martins, L. O. S., Damm, D. D., & Almeida, K. F. (2023). Estudo da simulação de um processo industrial com aplicação de cronoanálise e balanceamento de linha. In Anais eletrônicos do Encontro Nacional de Engenharia de Produção – ENEGEP (43., 2023, Fortaleza). Rio de Janeiro: Abepro. Recuperado de https://www.abepro.org.br/biblioteca/TN_WG_401_1969_46348.pdf

Soares, W. D., et al. (2022). Pesquisa qualitativa e quantitativa: um estudo comparativo. In Revisão bibliográfica: o uso da metodologia para a produção de textos. (vol. 1). Montes Claros: Editora Científica Digital. ISBN 978-65-5360-137-6.

Terceiro, M. A., Pontes, H. L. J., & Baltazar, M. C. P. (2024). Aplicação de mapeamento de fluxo de processos e simulação computacional para melhoria de processos em uma empresa do ramo eólico. Revista Gestão & Tecnologia, 24(4), 216-242.