Discriminant Analysis for Defect Reduction in Plastic Printing Process of Beverage Closures

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Kotchawan Yoothai
Kittiwat Sirikasemsuk
Kanogkan Leerojanaprapa


This research aimed to create the discriminant analysis equation for a classification group of good and bad products, in order to reduce the defects of the plastic printing process by means of the discriminant analysis. According to the company's case study, there was a problem with the beverage closures getting damaged because of the trademark ink peeling off. It was crucial for the brand of the goods and for attracting consumers to buy the product. A total of 180 sample data sets were collected. There were the following three predicted variables: gas pressure (x1), compressed air pressure (x2), and conveyor speed (x3). The dependent variables were separated into two categories: good components and defects. In this research, the discriminant analysis equation could be determined as gif.latex?\widehat{Y}=15.175+0.089x_{1}+0.171x_{2}+0.004x_{3}, under a 94.4% accuracy rate. The suitable gas pressure, compressed air pressure, and conveyor speed were 82 mbar, 7 psi, and 1000 rpm, respectively. These results were replicated experimentally, which proved that every beverage closure was good.

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Yoothai, K., Sirikasemsuk, K., & Leerojanaprapa, K. (2023). Discriminant Analysis for Defect Reduction in Plastic Printing Process of Beverage Closures. Journal of Science Ladkrabang, 32(2), 17–37. Retrieved from https://li01.tci-thaijo.org/index.php/science_kmitl/article/view/259756
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