This research analyzes the multivariate relationships between Efficiency, Overtime, and SMV (Standard Minute Value) in the garment production process at X Fashions Limited over six months of continuous data. The study focuses on identifying the interaction effects between these key variables across various production lines. Using statistical methods, including correlation analysis, ANOVA, and regression models, the research reveals complex and varied patterns in the relationships between efficiency, overtime, and SMV. The results indicate that while higher efficiency generally correlates with reduced overtime, this relationship is inconsistent across production lines, with some lines showing weak or no correlation. Similarly, the correlation between SMV and overtime is mostly negative, suggesting that higher SMV tends to reduce overtime, though line-specific operational factors introduce variability. The study also highlights that the relationship between Efficiency and SMV differs across lines, with some showing weak positive/negative correlations. These findings underscore the importance of line-specific interventions for optimizing efficiency and reducing overtime. The research contributes to a better understanding of how operational practices, resource management, and SMV adjustments impact production outcomes, offering actionable insights for improving productivity at X Fashions Limited. Future work should explore real-time monitoring systems to dynamically adjust SMV based on production line performance.