in this paper, it is assumed that the “decision making units“( ) are consist of positive and negative input and output. firstly, the optimistic and pessimistic models have been suggested by using negative data and then units with most productive scale size are measured in optimistic and pessimistic models. these productive values are compared with double frontiers and hurwicz’s criterion to obt...

Data envelopment analysis (DEA) is a mathematical programming - based technique to evaluate the performance of homogeneous group decision-making units (DMUs) with multiple inputs and outputs. One DEA applications involves aggregating input resources reallocating them create efficient DMUs.The present study employs centralized resource allocation (CRA) approach develop model for creating new DMU...

In this paper, it is assumed that the “Decision Making Units“( ) are consist of positive and negative input and output. Firstly, the optimistic and pessimistic models have been suggested by using negative data and then units with most productive scale size are measured in optimistic and pessimistic models. These productive values are compared with double frontiers and Hurwicz’s Criterion to obt...

for better guiding a system, senior managers should have accurate information. using data envelopment analysis (dea) help managers in this objective. thus, many investigations have been made in order 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 inte...

In this paper two different DEA models were applied to evaluate the relative efficiency of State Owned Electric Utilities (SOEUs) in India. The DEA method was applied to find the overall efficiency, Technical Efficiency and Scale Efficiency. The Most Productive Scale Size (MPSS) is calculated for the scale inefficient utility. The results and discussions of this paper can be used to assist the ...

Background and Objectives: The goal of current study is to evaluate the performance of hospitals and their departments. This manuscript aimed at estimation of the most productive scale size (MPSS), returns to scale (RTS), and benchmarking for inefficient hospitals and their departments. Methods: The radial and non-radial data envelopment analysis (DEA) ap...

For better guiding a system, senior managers should have accurate information. Using Data Envelopment analysis (DEA) help managers in this objective. Thus, many investigations have been made in order 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 inte...

By using the Double Frontiers Criteria, Hurwicz succeeded to achieve The Most Productive Scale Size of decision making units. This Double frontiers criteria was achieved by using two models of “CCR” in optimistic viewpoint in input form and the “CCR” model in pessimistic viewpoint in input form. In this paper, we intend to find a criteria for Double frontiers of super efficiency by using two mo...

For better guiding a system, senior managers should have accurate information. Using Data Envelopment analysis (DEA) help managers in this objective. Thus, many investigations have been made in order 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 inte...

Abstract Choosing the Most Preferred Solution (MPS), namely a real or artificial Decision Making Unit (DMU) reflecting decision maker’s preferences over desirable structure of inputs and outputs, is particular importance in Value Efficiency Analysis (VEA). In this paper, we review various MPS choices used VEA literature propose some new, which rely respectively on relative position frontier DMU...