Development Data Analysis (DEA) Model to Evaluate the Efficiency of Professional Industrial Engineering Schools in Peru with a Sustainable Development Approach

Authors

  • Gloria T. Huamaní Faculty of Industrial Engineering and Systems, National University of Engineering. Lima Peru
  • Salutiniano A. Huamani Faculty of Industrial Engineering and Systems, National University of Engineering. Lima Peru
  • Joaquin M. Salcedo Faculty of Industrial Engineering and Systems, National University of Engineering. Lima Peru
  • César A. Fernandez Faculty of Industrial Engineering and Systems, National University of Engineering. Lima Peru

DOI:

https://doi.org/10.21754/tecnia.v26i2.59

Keywords:

Sustainable Development, Enveloping Data Analysis (DEA), Efficiency Assessment of Professional Schools

Abstract

This paper proposes a methodology to formulate a Model of Data Envelopment Analysis (DEA) to evaluate the efficiency of Industrial Engineering careers in Peru with a sustainable development approach.
This study comprises two stages, the first one corresponds to the identification of input and output variables, based on other DEA studies applied in higher education, revision of criteria used in university ranking´s, SUNEDU and ABET. In a second stage, three models are proposed whose application is restricted to the availability of data and information.  

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References

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http://www.shanghairanking.com/FieldENG2015.html

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[12] Martín, Raquel. La Medición de la Eficiencia Universitaria: Una Aplicación del Análisis Envolvente de Datos Formación Universitaria. Vol. 1(2), 17-26 (2008) Disponible en http://www.scielo.cl/pdf/formuniv/v1n2/art04.pdf

[13] Pino, Solís Delgado y Barea. Evaluación de la eficiencia de grupos de investigación mediante análisis envolvente de datos (DEA)

[14] Salcedo Joaquín. Académico. http://joaquinstorres.blogspot.pe/2016/10/las-mejores-

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[15] Superintendencia de la educación superior universitaria (SUNEDU) de Perú.

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[16] Urueña, B. y Martín, N. La evaluación de la eficiencia en las universidades: disponible en http://www.usc.es/economet/journals2/eers/eers12

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Published

2016-12-01

How to Cite

[1]
G. T. Huamaní, S. A. Huamani, J. M. Salcedo, and C. A. Fernandez, “Development Data Analysis (DEA) Model to Evaluate the Efficiency of Professional Industrial Engineering Schools in Peru with a Sustainable Development Approach”, TECNIA, vol. 26, no. 2, p. 72, Dec. 2016.

Issue

Vol. 26 No. 2 (2016)

Section

Articles

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