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

dc.contributorUniversidade do Estado do Rio de Janeiro (UERJ)
dc.contributorCentro Federal de Educação Tecnológica Celso Suckow da Fonseca
dc.contributorESD - Polytechnic Institute of Cavado and Ave
dc.contributorUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:48:23Z
dc.date.accessioned2022-12-20T01:32:23Z
dc.date.available2022-04-28T19:48:23Z
dc.date.available2022-12-20T01:32:23Z
dc.date.created2022-04-28T19:48:23Z
dc.date.issued2021-01-01
dc.identifierInternational Journal for Quality Research, v. 15, n. 4, p. 1245-1262, 2021.
dc.identifier1800-7473
dc.identifier1800-6450
dc.identifierhttp://hdl.handle.net/11449/223064
dc.identifier10.24874/IJQR15.04-14
dc.identifier2-s2.0-85121231127
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5403193
dc.description.abstractThis 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.
dc.languageeng
dc.relationInternational Journal for Quality Research
dc.sourceScopus
dc.subjectAssembly Line
dc.subjectCapability
dc.subjectQuality Management
dc.subjectQuality Tools
dc.subjectStatistical process control
dc.titleIMPROVED VEHICLE PAINTING PROCESS USING STATISTICAL PROCESS CONTROL TOOLS IN AN AUTOMOBILE INDUSTRY
dc.typeArtículos de revistas


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