The Improving Efficiency Measurement and Discriminating Power in the DEA Models with Presentation of a new Model of CSW

Document Type : Research Article (Original Article)

Authors

1 Professor, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran.

2 PhD candidate of Systems Management, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran.

Abstract

Data Envelopment Analysis (DEA) is a wide range of mathematical models for measuring the relative efficiencies of a set of Decision Making Units (DMUS) that use similar inputs to produce similar outputs. This methodology gains the set of weights for input and output variables for each Decision Making Unit and Basis it, calculate the relative efficiency of each DMU. Calculation of different weights for same indices at set of homogeneous decision making units isn’t logical, so we are at seek models for attain of common weights of input and output indices. In this paper a MaxMin comprehensive method of linear programming to obtain Common Set of Weights (CSW) is used and then DMUs has been full ranking.To analyze the methods of finding the CSW, it is necessary to solve a particular form of a linear programming model. Clear rationale, applicable in a variety of standard DEA models, linearity and simply solve the model, the high discriminating power of model and possibility of weights management according to appropriateness of problem are considered the most important benefits of the proposed model. Finally, the developed method for data analysis of nine Iranian state chosen banks has been used.

Keywords

Files

History

  • Receive Date: 05 February 2017
  • Revise Date: 11 November 2021
  • Accept Date: 05 February 2017

Share

How to cite

Statistics