Statistical analysis: An approach by applying nonparametric tests to a brazilian commercial egg production line
University of the State of São Paulo – Faculty of Engineering of Guaratinguetá, Industrial Engineering Department, Avenida Dr. Ariberto Pereira da Cunha 333, Pedregulho, Guaratinguetá, São Paulo, Brazil, Zip Code:12.516-410.
Research Article
Global Journal of Engineering and Technology Advances, 2020, 04(02), 011-021.
Article DOI: 10.30574/gjeta.2020.4.2.0049
Publication history:
Received on 31 July 2020; revised on 10 August 2020; accepted on 11 August 2020
Abstract:
The present study refers to the statistical analyzes applied to the production of commercial eggs carried out in a Poultry Company in the interior of the State of São Paulo, Brazil. Currently, the concern with consumer demands is growing in the food sector, which makes companies seek to increase the level of quality of their products. In this study, the application of statistical analysis was applied to the data obtained from the software that integrates a crack detection accessory, the Crack Detector of 12 egg production lines for 6 months. It was concluded that, when performing the nonparametric tests, Spearman and Kruskal tests, the data are correlated and there is a difference between the analyzed cracks among the quality control equipments. As result of this research work a calibration plan for the measurement equipments was suggested, in order to increase the reliability in the quality control inspection process, reducing the amount of non-conform products delivered to the customers market.
Keywords:
ANOVA; Nonparametric tests; Egg production; Crack Detector; Spearman tests; Kruskal tests
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Copyright © 2020 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0