Application of the EWMA chart based on the effective variance to monitor variability in fungicides multivariate quality control processes

Authors

  • Rogelio José Herrera-Chamorro Universidad del Atlántico of the City of Puerto Colombia.
  • Roberto José Herrera-Acosta Universidad del Atlántico of the City of Puerto Colombia.

DOI:

https://doi.org/10.33304/revinv.v14n2-2019003

Keywords:

Effective variance, EWMA charts, multivariate process.

Abstract

This article presents a case study, using a monitoring using the EWMA control chart based on effective variance, to show how the increase in variability of one quality characteristics affects the user in a sensitive way the results for this type of carte; in addition, this allows to expand the capacity to select different monitoring methods for multivariate process. In this study, subgroups submitted online were evaluated in the line of a manufacturing process of plant protectants or fungicides using two variables resulting from the process, established the parameters. When analyzing the EWMA control chart based on effective variance, was found that it generates very closed limits, which could be detrimental to samples with high variability.

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Author Biographies

Rogelio José Herrera-Chamorro, Universidad del Atlántico of the City of Puerto Colombia.

Industrial Engineer, Barranquilla (Colombia). Linked to the Quality Management Research Group of the Universidad del Atlántico in the city of Puerto Colombia.

Roberto José Herrera-Acosta, Universidad del Atlántico of the City of Puerto Colombia.

Doctorate in the Faculty of Economic and Accounting Sciences of the Central University of Venezuela. Professor at the Universidad del Atlántico. Barranquilla, Colombia). Linked to the Quality Management Research Group of the Universidad del Atlántico in the city of Puerto Colombia.

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Published

2019-02-22

How to Cite

Herrera-Chamorro, R. J., & Herrera-Acosta, R. J. (2019). Application of the EWMA chart based on the effective variance to monitor variability in fungicides multivariate quality control processes. I+D Revista De Investigaciones, 14(2), 33–39. https://doi.org/10.33304/revinv.v14n2-2019003

Issue

Section

Articles Vol. 14