Ewmareg control chart applied in the monitoring of industrial processes

Authors

  • Danilo Cuzzuol Pedrini Petrobras
  • Ângelo Márcio de Oliveira Sant'ana Pontifícia Universidade Católica do Paraná (PUC-PR)
  • Carla Schwengber ten Caten Universidade Federal do Rio Grande do Sul

DOI:

https://doi.org/10.14488/1676-1901.v11i4.801

Keywords:

EWMAREG, standardized residuals, regression models, corrosion rate

Abstract

If the process quality characteristics are dependent of control variables, and these vary during the process operation, the basic assumptions of control charts are violated. If the values of the control variables are known, it’s possible to apply the regression control chart. One of the most recent works in this area is the EWMAREG chart, which is the monitoring of the standardized residuals using exponentially weighted moving average control chart. In this paper, we present a systematic application of the EWMAREG control chart in monitoring a simulated process of chemical industry. The process characteristic monitored was the corrosion rate of steel pipe in function of four process control variables. The tool applied demonstrated high potential to detect change in surveillance of corrosion rate, ensuring stability process.

Downloads

Download data is not yet available.

Author Biographies

Danilo Cuzzuol Pedrini, Petrobras

Engenheiro de Produção Jr. (Petrobras)
Mestre em Eng. de Produção, com ênfase em Sistemas de Qualidade (UFRGS)
Graduado em Eng. de Produção (UFOP)

Ângelo Márcio de Oliveira Sant'ana, Pontifícia Universidade Católica do Paraná (PUC-PR)

Professor da PUC-Pr

Doutor em engenharia de produção (UFRGS)

Mestre em engenharia de produção (UFRGS)

Estatístico (UFBA)

Carla Schwengber ten Caten, Universidade Federal do Rio Grande do Sul

PPGEP/UFRGS

Doutora em eng. metalúrgica, de minas e materiais (UFRGS)
Mestre em eng. de produção (UFRGS)
Eng. Civil (UFRGS)

Published

2011-12-06

How to Cite

Pedrini, D. C., Sant’ana, Ângelo M. de O., & ten Caten, C. S. (2011). Ewmareg control chart applied in the monitoring of industrial processes. Revista Produção Online, 11(4), 1141–1159. https://doi.org/10.14488/1676-1901.v11i4.801

Issue

Section

Papers