Design of a control charter based on principal component analysis. A case study

Authors

  • Bruno de Jesús Rahmer Fundación Universitaria Tecnológico Comfenalco (Colombia)
  • José Solana Garzón Fundación Universitaria Tecnológico Comfenalco (Colombia)
  • Hernando Garzón Saénz Fundación Universitaria Tecnológico Comfenalco (Colombia)
  • Gustavo Ortiz Piedrahita Fundación Universitaria Tecnológico Comfenalco (Colombia)

DOI:

https://doi.org/10.46661/revmetodoscuanteconempresa.3509

Keywords:

chemical industry, data reduction, statistical analysis, multivariate quality control, variability

Abstract

The set of quantitative methods and techniques used to detect assignable variations in manufacturing processes are contained within a discipline classified as statistical process control. Such methods carry out precise evaluations on the general state of productive systems and carry out simultaneous monitoring of various interrelated quality characteristics. In the framework of this research, the analysis of a chemical process based on the theoretical principles of principal component analysis is proposed, which enables the representation of the original variables in a compact dimensional space. In the later phase, a control graph based on the squares of the prediction errors is constructed in order to evaluate the behavior of the composite variables found. The results indicate that the process is not marginally stable and it is necessary to reduce its variability margin.

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Published

2020-12-01

How to Cite

Rahmer, B. de J., Solana Garzón, J., Garzón Saénz, H., & Ortiz Piedrahita, G. (2020). Design of a control charter based on principal component analysis. A case study. Journal of Quantitative Methods for Economics and Business Administration, 30, 279–296. https://doi.org/10.46661/revmetodoscuanteconempresa.3509

Issue

Vol. 30 (2020)

Section

Articles

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