Diseño de una carta de control basada en Análisis de Componentes Principales: Un caso de estudio

Artikel

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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• Alternative title: Design of a control charter based on principal component analysis: A case study
• Language: Spanisch

References and Relationships

• Bibliographic citation: Journal: Revista de Métodos Cuantitativos para la Economía y la Empresa ; ISSN: 1886-516X ; Volume: 30 ; Year: 2020 ; Pages: 279-296

Classification and Topics

• Classification: Wirtschaft ; Econometric and Statistical Methods: Other ; Multiple or Simultaneous Equation Models: Classification Methods; Cluster Analysis; Principal Components; Factor Models
• Subject: chemical industry ; data reduction ; statistical analysis ; multivariate qualitycontrol ; variability

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): de Jesús Rahmer, Bruno ; Solana Garzón, José ; Garzón Saénz, Hernando ; Ortiz Piedrahita, Gustavo
• Event: Veröffentlichung
• (who): Universidad Pablo de Olavide
• (where): Sevilla
• (when): 2020

Further information

• DOI: doi:10.46661/revmetodoscuanteconempresa.3509
• Handle: http://hdl.handle.net/10419/286215