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Sufficient numbers of Decision Making Units (DMUs) in comparison with thenumber of input and output variables has been a concern of using DataEnvelopment Analysis (DEA) in the last three decades. There are several studiesin the literature of DEA which have tried to handle this issue by providingadditional procedures to increase the number of DMUs, decreasing the number ofvariables or finding a relationship between the number of DMUs and variables.However, there are no concerns about the number of DMUs in comparison with thenumber of variables while Kourosh and Arash Method (KAM) is applied. Ageometric reason is provided to depict the validity of the method without anyextra conditions or additional methodologies. The technique is quite simplewith no computational complexities of current methodologies even if the numberof DMUs is less than the number of variables. A real-life numerical example of32 DMUs with 45 variables demonstrates the advantages of the proposedtechnique.

How to deal with numbers of decision making units and variables in data envelopment analysis