IMPROVED VEHICLE PAINTING PROCESS USING STATISTICAL PROCESS CONTROL TOOLS IN AN AUTOMOBILE INDUSTRY

Artículos de revistas

Date

2021-01-01

Registration in:

International Journal for Quality Research, v. 15, n. 4, p. 1245-1262, 2021.

1800-7473

1800-6450

http://hdl.handle.net/11449/223064

10.24874/IJQR15.04-14

2-s2.0-85121231127

https://repositorioslatinoamericanos.uchile.cl/handle/2250/5403193

Author

Universidade do Estado do Rio de Janeiro (UERJ)

Centro Federal de Educação Tecnológica Celso Suckow da Fonseca

ESD - Polytechnic Institute of Cavado and Ave

Universidade Estadual Paulista (UNESP)

Institutions

Universidade Estadual Paulista (Brasil)

Abstract

This abstract presents a case study approach based on qualitative methods and data that aimed a detailed examination of an environment, a particular subject or situation. The objective of this work is to improve the painting process of an automotive company through the application of Statistical Process Control for the optimization of performance indicators quality and productivity. Statistical Process Control is applied to the monitoring of manufacturing industry processes, including automotive manufacturing. The implementation of the SPC in production environments is to improve and control real-time product and process characteristics, quality and productivity is an accepted manufacturing event.

Subjects

Statistical process control

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