Full Factorial Design of Experiments 2^k in plastic cable channels to control appearance (color) as a quality characteristic based on component weight
Keywords:
Plastic injection molding, Design of Experiments (DOE), ANOVA, quality improvement, color consistency, factorial design.Abstract
The application of statistical methods in the plastic injection molding industry provides a robust approach for improving manufacturing processes and product quality. In this study, a (2^k) factorial design of experiments (DOE) was implemented to optimize the plastic injection molding process, focusing on a critical quality characteristic: part color. Variations in this characteristic resulted in the production of nonconforming parts, generating annual losses estimated at USD 153,568. A total of 32 experimental runs were conducted, and the experimental data were analyzed using analysis of variance (ANOVA) with a 95% confidence level. The results identified the optimal combination of injection time and metering time, significantly improving color consistency and ensuring compliance with the required quality specifications for the molded parts.
Keywords: Plastic injection molding, Design of Experiments (DOE), ANOVA, quality improvement, color consistency, factorial design.
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