Estimating Most Productive Scale Size in Dea With Real and Integer Value Data

For better guiding a system, senior managers should have accurate information. using data envelopmentanalysis (dea) help managers in this objective. thus, many investigations have been made inorder to find the most productive scale size (mpss) for the evaluating decision making units (dmus).in this paper we consider this case where there exist subsets of input and output variables to be integervalued. we use data envelopment analysis (dea) technique, which is a mathematical programmingfor eficiency evaluation and target setting for a set of dmus, and develop a model with which thedesired mpss point can be found. the applicability of developed model is illustrated in the contextof the analysis to show the validity of the proposed model.