Proceedings IJCIEOM – International Joint Conference on Industrial Engineering and Operations Management


ICIEOM2020_ABST_0003_37287

A VARIABLE CHARTING STATISTIC FOR MONITORING THE COVARIANCE MATRIX OF BIVARIATE PROCESSES


ÁREA: 03. Quality Management

RESUMO:
This article proposes a control chart to monitor the covariance matrix of bivariate processes using a mixture of attribute and variable charts, namely MIX-VAR chart. The items are first classified as approved or disapproved, using devices such as a go-no-go gauge. If the number of disapproved items is equal or greater than a control limit, the units of the next sample are measured and their sample variances are calculated. The proposed chart performs better than its competitor attribute chart, but not better than its competitor variable chart. However, it is more economically advantageous than the variable inspection.

PALAVRAS-CHAVE:
control chart, variable, attribute.



DOI: 10.14488/ijcieom2020_abst_0003_37287
AUTORES:

MARCELA APARECIDA GUERREIRO MACHADO
UNESP






ISSN ENEGEP: 23183349 / ISSN ICIEOM: 23178000


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