Application of management tools aiming to reduce losses in the production process in a capixaba glass factory

Authors

  • Flavio Lucio Santos de Carvalho Centro Universitário Salesiano - Unisales
  • Tiago de Nardi Mattos Centro Universitário Salesiano - Unisales

DOI:

https://doi.org/10.47456/bjpe.v8i2.36972

Keywords:

PDCA, Ishikawa, losses, process, Lead times

Abstract

The current scenario requires companies to optimize processes, whether in the use of tools, use of raw materials, or even the hiring of employees, providing lean production. Thus, attention to processes is of great importance, to reduce not only lead times but also losses during product manufacturing. Based on the ideal of reducing waste, this study aims to identify the sector where the greatest losses occur and act to minimize or eliminate these loss indicators in the evaluated production process. In order to reach the results through the research, several data from the factory's production process were collected, such as monthly losses, the monthly quantity produced and the employees' income during the execution of activities. By applying the Pareto Diagram, SWOT Matrix, Ishikawa Diagram, 5W's 2H's, and PDCA cycle tools, it was possible to identify the critical point of the process and quantify the losses guiding decision-making. Thus, an action plan was developed to work in the glass cutting sector, the initial sector with the largest input and output volume of orders in the organization during the production process.

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Author Biography

Flavio Lucio Santos de Carvalho, Centro Universitário Salesiano - Unisales

I have a degree in Metallurgical Engineering from the Federal University of Minas Gerais (1997), a degree in Full Degree in Chemistry, Mathematics and Professional Metallurgy from the Fundação de Educação para o Trabalho de Minas Gerais (1999), a master's degree in Metallurgical and Mining Engineering from the Federal University from Minas Gerais (2002 - emphasis on Materials Science - Ceramic, Composite and Metallic Surface Tribological Coatings), postgraduate degree in Mathematics from Faculdade de Nanuque (2014) and MBA in Hybrid Education, Active Methodologies and Learning Management (2020). At ArcelorMittal Tubarão I worked as a specialist in Integrated Product Quality Control - plate and coil (2001~2008) and as a specialist in Production Planning and Control-PCP in Product Order Management in coil (2008~2013), thus obtaining the experiences in the areas of Metallurgical Engineering - Integrated Product Quality Control and Production Engineering - Product Order Management. I worked as a professor at the Federal Institute of Education, Science and Technology of Espírito Santo (IFES - 2004~2006 and 2009~2014) and Faculdade do Centro Leste (UCL - 02/2008~06/2008) teaching subjects from higher education courses in Metallurgical Engineering and Metallurgical Technology, and Metallurgy Technician in both institutions (being the disciplines: Steel, Steel, Mechanical Conformation, Casting and Welding). I also work as a Mathematics and Chemistry teacher in state education institutions for high school (since 2013). I am currently a master professor at UNISALES - Centro Universitário Salesiano (2013) in the subjects of: Materials Science, Material Strength, General Inorganic and Technological Chemistry, Mechanics I, Production Planning and Control I, Production Processes, Production Systems, Lean Manufacturing and Production Installations Projects for Production Engineering and Civil Engineering courses. He acted as coordinator and advisor of interdisciplinary integrative projects in the Civil Engineering course. I worked as a professor coordinator and advisor of interdisciplinary integrative projects and professor of TCC projects, both in the Production Engineering course. (Text provided by the author)

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Published

2022-02-08

How to Cite

Carvalho, F. L. S. de, & Mattos, T. de N. (2022). Application of management tools aiming to reduce losses in the production process in a capixaba glass factory. Brazilian Journal of Production Engineering, 8(2), 99–115. https://doi.org/10.47456/bjpe.v8i2.36972

Issue

Vol. 8 No. 2 (2022): Edição Especial "Ciência na Prática" (Fevereiro-Abril)

Section

QUALITY ENGINEERING

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