Performance Analysis in Production Systems with Uncertain Data: A Stochastic Data Envelopment Analysis Approach

Table 1

Differences between models.

DEA model	SDEA model
The values of inputs and outputs are definite.	The values of inputs and outputs are random.
No accidental error is entered in the model	Random error enters the model in the form of a random component
The model offers only past performance	Allows you to predict performance in the future
The efficiency frontier is very sensitive to small changes in inputs and outputs.	The efficiency frontier is less sensitive to changes in inputs and outputs.
The error level in such models is considered zero.	Efficiency is defined according to the level of error in the model.
In the final model, the correlation between inputs and outputs is not considered.	The correlation between inputs and outputs is considered in such models.