Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/286193 
Title (translated): 
Comparative analysis of multivariate capacity indicators: The case of the Cartagena manufacturing cluster
Year of Publication: 
2020
Citation: 
[Journal:] Revista de Métodos Cuantitativos para la Economía y la Empresa [ISSN:] 1886-516X [Volume:] 29 [Year:] 2020 [Pages:] 172-189
Publisher: 
Universidad Pablo de Olavide, Sevilla
Abstract (Translated): 
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.
Subjects: 
multivariate analysis
principal component analysis
manufacturing cluster
capacity index
statistical process control
JEL: 
C19
C38
Z21
Persistent Identifier of the first edition: 
Creative Commons License: 
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Document Type: 
Article

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