Abstract
The present study seeks to determine the influence of fatigue according to the Yoshitake’s physical, mental, and general classification on the percentage of performance in workers of an assembly line of energy accumulators in a plant located on the north coast of Colombia. The study shows that the type of fatigue affects the performance of workers and this effect varies depending on: the work shift (morning, afternoon, or evening), the position (operator, assistant, or packager), and the experience or the age of the worker. All relationships were established from multiple linear statistical models, applying a 95% of confidence in the models for the three studied shifts, presenting values of R squared above 76% showing that the models are highly explanatory and reliable.
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To the Universidad de la Costa and the Universidad Libre Seccional Barranquilla, especially the GIDE research group, for making this research possible.
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Parody, A., Viloria, A., Hernandez, M., Niño, A., Cervera, J. (2020). Integration of Statistical Techniques to Evaluate the Fatigue of Operators on the Productivity of a Company. In: Pandian, A., Ntalianis, K., Palanisamy, R. (eds) Intelligent Computing, Information and Control Systems. ICICCS 2019. Advances in Intelligent Systems and Computing, vol 1039. Springer, Cham. https://doi.org/10.1007/978-3-030-30465-2_7
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