A New Method for Determining Most Congest Decision Making Unit in Data Envelopment Analysis

One of the problems in data envelopment analysis (DEA) is congestion concept. This is the subject of debates for researchers since 2 decades. Congestion in data envelopment analysis means reducing one or more input and increasing one or more output without worsening any of the other inputs or outputs. There are several ways to calculate congestion that are investigated in different papers. The existent methods determine congestion decision making units. In this paper, we tried to gain most congest decision making unit (DMU) that with smaller calculations so we can have the most congest DMU very quickly. We explained the application of our new method by 2 numerical examples.