Análisis comparativo de indicadores de capacidad multivariante: El caso del clúster manufacturero cartagenero

Artikel

Multivariable capacity index have been used frequently in the manufacturing industry and similar environments, since they provide quantitative measurements of the potential and performance of a process described by multiple quality characteristics susceptible to evaluation and correlated simultaneously. In this paper, we present an empirical evaluation of several approaches to analyze a multivariate industrial process. In the firs approach we study relationship of the volume of the tolerance region and the volume of the process region. In the second approach, we propose the application of principal components technique and, finally, we propose the application of other indicators that analyze the proportion of observations located outside the specification margins and their variability in the long and short term. The results provided indicate that analyzed production process is not marginally capable for satisfying predefined technical specifications and that there is a high margin of improvement.

Object Details

• Alternative title: Comparative analysis of multivariate capacity indicators: The case of the Cartagena manufacturing cluster
• Language: Spanisch

References and Relationships

• Bibliographic citation: Journal: Revista de Métodos Cuantitativos para la Economía y la Empresa ; ISSN: 1886-516X ; Volume: 29 ; Year: 2020 ; Pages: 172-189

Classification and Topics

• Classification: Wirtschaft ; Econometric and Statistical Methods: Other ; Multiple or Simultaneous Equation Models: Classification Methods; Cluster Analysis; Principal Components; Factor Models ; Sports Economics: Industry Studies
• Subject: multivariate analysis ; principal component analysis ; manufacturing cluster ; capacity index ; statistical process control

Contributors, Places and Time

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

Further information

• DOI: doi:10.46661/revmetodoscuanteconempresa.2961
• Handle: http://hdl.handle.net/10419/286193
• Last update: 10.03.2025, 11:44 AM CET