The article discusses a method called Data Envelopment Analysis (DEA) for measuring efficiency in decision-making units. Traditional DEA models overlook the impact of intermediate measures on efficiency, focusing only on initial inputs and final outputs. To address this limitation, the researchers developed models to identify the best intermediate products in two-stage network processes, leading to improved overall efficiency and the identification of projection points for each unit.