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Selection and Analysis of Input-Output Variables using Data Envelopment Analysis of Decision Making Units – Indian Private Sector Banks
B. Vittal1, Raju Nellutla2, M. Krishna Reddy3

1B. Vittal*, Assistant Professor, Department of Computer Science and Engineering, CVR College of Engineering, Hyderabad(Telangana), India.
2Raju Nellutla, Associate Professor, Department of Humanities and Science, Gurunanak Institutions, Hyderabad(Telangana), India.
3M. Krishna Reddy, Professor, Department of Computer Science and Engineering, CVR College of Engineering, Hyderabad(Telangana), India.

Manuscript received on May 21, 2021. | Revised Manuscript received on May 10, 2021. | Manuscript published on June 30, 2021. | PP: 119-127 | Volume-10 Issue-5, June 2021. | Retrieval Number:  100.1/ijeat.E26740610521 | DOI: 10.35940/ijeat.E2674.0610521
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In banking system the evaluation of productivity and performance is the key factor among the fundamental concepts in management. For identify the potential performance of a bank efficiency is the parameter to evaluate effective banking system. To measure the efficiency of a bank selection of appropriate inputoutput variables is one of the most vital issues. The suitable identification of input-output variables helps to create and identify model in order to evaluate the efficiency and analysis. The Data Envelopment Analysis (DEA) is a mathematical approach used to measure the efficiency of identified Decision Making Units (DMUs). The DEA is a methodology for evaluating the relative efficiency of peer decision making units of identified input/output variables for the financial year 2018-19. In this study the basic DEA CCR, BCC models used for measure the efficiency of DMUs. In addition to these models for minimize the input excess and output shortfall Slack Based Measure (SBM) efficiency used. The SBM is a scalar measure which directly deals with slacks of input, output variables which help in obtain improved efficiency score compare with previous model. The result from the analysis is.
Keywords: DEA, Efficiency, Input variables, Output variables, CCR, BCC and SBM
Scope of the Article: Input-Output variables