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Pre-experimental research designs allow us to determine the results of group analyses without a pretest. This means that only after applying the new methodology can a posttest be conducted to determine whether the impact of the application was positive or negative. The objective of this research is to evaluate the impact of a new manufacturing process methodology on a production line at processing plant A, Panama, 2025. The methodology and materials are developed as follows: the scope is explanatory; the research statistically explains the impact of the new methodology, with a quantitative approach since the amount of production is quantified. The research design is pre-experimental; only one analysis group is used, with a posttest conducted after the application of the new production methodology to the system. A study population of 20 workers on the production line was selected, and hourly production was quantified after the application of the new manufacturing process. Data analysis was performed using a normality test to determine whether to use parametric or non-parametric tests. Based on the results, a hypothesis was formulated to conduct a one-sample t-test. The result, determined by the p-value, was less than 0.05, confirming that the new manufacturing process on the production line had a positive impact on the plant's human resources.
Este obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional.
