The article explores how outliers in data can affect decision-making efficiency using a method called Data Envelopment Analysis. By studying how outliers are identified and handled, the researchers aim to improve the accuracy of efficiency assessments in production systems. Their proposed method is designed to help decision-making units better deal with outliers in their data samples. The researchers provide numerical results to show the effectiveness of their approach.