Maintenance management in an industrial process: Case study in a company of the Industrial Pole of Manaus

Edry Antonio Garcia Cisneros 1, *, Biatriz Vitoria da Conceição Moraes Custodio 1, Israel Gondres Torné 2, Sammyne Gadelha Figueiredo Ingrid 3, João Evangelista Neto 4, Joycet Ramírez Ruano 5 and Karina Lima e Lima 6

1 Mechanical Engineering at Amazonas State University, Brazil.
2 Course student Reliability and Maintenance 4.0 at Amazonas State University, Brazil.
3 Master of Science, Electrical Engineer at Amazonas State University, Brazil.
4 Mechanical Engineering at Amazonas State University, Brazil.
5 Accounting and Finance of the Laboratory of Embedded Systems of the Amazonas State University, Brazil.
6 Specialist, post-graduating in Project Management of the Amazonas State University's Embedded Systems Laboratory, Brazil.
 
Research Article
Global Journal of Engineering and Technology Advances, 2023, 14(02), 080–092.
Article DOI: 10.30574/gjeta.2023.14.2.0029
Publication history: 
Received on 06 January 2023; revised on 16 February 2023; accepted on 18 February 2023
 
Abstract: 
In an increasingly competitive market, and given the current economic problems, it is necessary that companies invest in improving their production processes. Based on the above, the objective of this work was to develop research aiming to apply quality management tools that are widely applied in maintenance management in a production process of a company from the Manaus Industrial Pole to eliminate the process downtime due to problems with sticks with thick layer of paint and varnish. During the process, important steps were fulfilled within the research and starting from the initial diagnosis developed as well as the application of the mentioned tools, results were obtained that allow us to affirm the importance of the application of the maintenance management tools in this area, by obtaining satisfactory results both in quality gains and work time, translating into efficiency.
 
Keywords: 
Quality tools; Painting; Management; Industrial process
 
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