Increasing productivity by principal component analysis: a case study
DOI:
https://doi.org/10.69681/lajae.v1i1.7Keywords:
Manufacture, Principal analysis component, ProductivityAbstract
The aim of this research is to expose the use of the technique of Principal Component Analysis to increase the productivity of production system whit a high level of downtimes. For the develop of the research, a manufacturer system integrated by 20 cells of manufacturing was considered under the restriction of the same conditions for each cell. Ten variables classified as a cause of the death times. The methodology implemented based on the develops of analysis of component principal to determine the effect of the principal variables on the system and their correlation. With the result achieved it was possible to reduce the number of variables from ten to five; they explain the 80% of the variation of the system. Finally, the implementation of lean manufacturing tools and the integration of the chain supply make an achievement of an increase in the productivity of 23%.
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