Segmentation of economic activities of the manufacturing sector according to its rate of labor incident occurrence, through the creation of a cluster, by applying a multivariate analysis

Authors

  • Monica Perez Gutierrez Universidad Simón Bolívar. Barranquilla, Colombia.
  • Ricardo De Jesus Pinillos Ferrer Universidad Simón Bolívar Barranquilla, Colombia

DOI:

https://doi.org/10.25044/25392190.918

Keywords:

occupational incident occurrence, work-related accidents, occupational disease, rate.

Abstract

In this article the results of the indicators of incident occurrence in the workplace are analyzed by studying the behavior of the work-related accident and occupational disease rates of the different activities that constitute the manufacturing economic sector in Colombia. Groups were established by the application of multivariate analysis method, specifically: cluster analysis to identify clusters, and discriminant analysis to determine the cluster with the highest incidence rate, where variables accident rate and occupational disease rate were analyzed. The results obtained will allow us to predict labor incident occurrence in the manufacturing sector, according to its economic activity in relation to the identified clusters.

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Author Biographies

Monica Perez Gutierrez, Universidad Simón Bolívar. Barranquilla, Colombia.

Ingeniera Industrial, especialista en Salud Ocupacional, estudiante de Maestría en Ingeniería Industrial,

Ricardo De Jesus Pinillos Ferrer, Universidad Simón Bolívar Barranquilla, Colombia

Ingeniero Industrial, especialista en Gerencia y Control de Riesgos Laborales, estudiante de Maestría en Ingeniería Industrial

Published

2018-07-30

How to Cite

Perez Gutierrez, M., & Pinillos Ferrer, R. D. J. (2018). Segmentation of economic activities of the manufacturing sector according to its rate of labor incident occurrence, through the creation of a cluster, by applying a multivariate analysis. Teknos Revista científica, 18(1), 56–61. https://doi.org/10.25044/25392190.918

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Articles
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