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

• Autores: T. Huamaní, Gloria, Huamani, Salutiniano A., Salcedo, Joaquin M., Fernandez, César A.
• Formato: artículo
• Fecha de Publicación: 2016
• Institución: Universidad Nacional de Ingeniería
• Repositorio: Revistas - Universidad Nacional de Ingeniería
• Lenguaje: español
• OAI Identifier: oai:oai:revistas.uni.edu.pe:article/59
• Enlace del recurso: https://revistas.uni.edu.pe/index.php/tecnia/article/view/59
• Nivel de acceso: acceso abierto
• Materia: desarrollo sostenible; Análisis envolvente de datos (DEA); evaluación de la eficiencia de Escuelas Profesionales; Sustainable Development; Enveloping Data Analysis (DEA); Efficiency Assessment of Professional Schools

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.