Two-step data envelopment analysis approach for efficient engineering enrollment management

• Autores: E. Kongar, T. M. Sobh, M. Baral
• Localización: The International journal of engineering education, ISSN-e 0949-149X, Vol. 25, no. Extra 2, 2009, págs. 391-402
• Idioma: inglés
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• Resumen

  • In this paper, we present two consecutive Data Envelopment Analysis (DEA) models to measure the relative efficiency of applicants to graduate programs in engineering and to compare these efficiencies with the success of these students in the program. 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.