A New Approach to Measuring Congestion in DEA with Common Weights

Congestion is an important topic in economics and data envelopment analysis. It occurs when the output increases by reducing one or more inputs without improving any other inputs or outputs. Conversely, congestion occurs when the output reduces by increasing one or more inputs without improving any other inputs or outputs. In this article, we have focused on a work that proposes less computation for measuring congestion. In addition, this article also propose a new method for measuring congestion in decision making units by using common weights based on comparison of inputs.