Control charts to optimize the process of painting on aluminum sheets

Resultado de la investigación: Contribución a una revistaArtículoInvestigaciónrevisión exhaustiva

Resumen

© 2018. The Statistical Process Control is oriented to the minimization of reprocessing and waste because it allows identifying, using Control Charts, assignable causes of variation. This paper shows how the use of control charts, to monitor the thickness of aluminum sheet paint, allowed to reduce reprocessing by application and optimize the consumption of raw material. In this way, it is evident that Industrial Statistics is still valid in our organizations.
IdiomaInglés estadounidense
PublicaciónEspacios
EstadoPublicada - 1 ene 2018

Huella dactilar

Aluminum sheet
Painting
Statistical process control
Paint
Raw materials
Statistics
Control charts
Aluminum

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title = "Control charts to optimize the process of painting on aluminum sheets",
abstract = "{\circledC} 2018. The Statistical Process Control is oriented to the minimization of reprocessing and waste because it allows identifying, using Control Charts, assignable causes of variation. This paper shows how the use of control charts, to monitor the thickness of aluminum sheet paint, allowed to reduce reprocessing by application and optimize the consumption of raw material. In this way, it is evident that Industrial Statistics is still valid in our organizations.",
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Control charts to optimize the process of painting on aluminum sheets. / Restrepo Tamayo, Luz Marcela.

En: Espacios, 01.01.2018.

Resultado de la investigación: Contribución a una revistaArtículoInvestigaciónrevisión exhaustiva

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AB - © 2018. The Statistical Process Control is oriented to the minimization of reprocessing and waste because it allows identifying, using Control Charts, assignable causes of variation. This paper shows how the use of control charts, to monitor the thickness of aluminum sheet paint, allowed to reduce reprocessing by application and optimize the consumption of raw material. In this way, it is evident that Industrial Statistics is still valid in our organizations.

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