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Evaluating the Efficiency of Candidates for Graduate Study via Data Envelopment Analysis School of Engineering University of Bridgeport Bridgeport, CT 06604

ABSTRACT

In this paper, we present a DEA approach to measure the relative efficiency of applicants to the graduate programs in engineering. The proposed performance criteria are determined depending on the current evaluation criteria in the School of Engineering at the University of Bridgeport. The steps and implementation of the proposed methodology are explained with the help of a numerical example for the Fall 2004 semester.

Keywords: Graduate Enrollment, Engineering, Decision Making, Engineering Education, Data Envelopment Analysis.

1. Introduction

Today, the global demand for U.S. graduate engineering programs is increasing rapidly, causing the application evaluation process to be a very cumbersome and time consuming task. Furthermore, most evaluation processes are handled by a variety of admission committee members depending on different preference criteria, leading to a less objective, and non-standardized decision making process. One efficient way to lessen the subjectivity and to develop a more uniformed decision making process is to utilize a common tool that provides rapid and objective efficiency scores for the applicants.

Data envelopment analysis (DEA) is a widely applied linear programming-based technique to evaluate the efficiency of a set of decision-making units. DEA was first developed by Charnes et al.1 in 1978 and since then has mostly been used for benchmarking and for performance evaluation purposes.

This paper presents a DEA approach to measure the relative efficiency of applicants to the graduate programs in engineering. The proposed performance criteria are determined depending on the current evaluation criteria in the School of Engineering at the University of Bridgeport. Steps and implementation of the proposed methodology are explained with the help of a numerical example for the Fall 2004 semester.

The paper is organized as follows: A brief list of previous studies is given in the next section. Section 3 provides a summary of the data envelopment analysis approach. The Problem description and a case study are the focus of Section 4. Conclusions and thoughts for future research are provided in Section 5.

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Kongar, E., & Sobh, T. (2007, June), Evaluating The Efficiency Of Candidates For Graduate Study Via Data Envelopment Analysis Paper presented at 2007 Annual Conference & Exposition, Honolulu, Hawaii. 10.18260/1-2--3077