SciELO - Scientific Electronic Library Online

 
vol.13 número1Formación de capacidades para fomentar el diálogo entre culturas, a través de las TIC en Medellín (Colombia)Educación para los medios en un entorno digital. Investigación-acción en Compensación Educativa índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • En proceso de indezaciónCitado por Google
  • No hay articulos similaresSimilares en SciELO
  • En proceso de indezaciónSimilares en Google

Compartir


Revista Lasallista de Investigación

versión impresa ISSN 1794-4449

Resumen

GIL GONZALEZ, Cristiam Andrés; MANYOMA VELASQUEZ, Pablo César  y  OREJUELA CABRERA, Juan Pablo. Simulation-optimization model to determine the installed capacity of an educational services system. Rev. Lasallista Investig. [online]. 2016, vol.13, n.1, pp.141-155. ISSN 1794-4449.

Introduction. The problem of determining the capacity in service companies is the lack of clear methodologies. As for academic institutions, the research advances on the subject are even more reduced. The literature available has widely covered other problems affecting capacity, and also the programming and the planning of staff, facilities and schedules without directly measuring capacity. Objective. To create a generic methodology to determine the capacity of an educative services system (schools, universities, etc) in terms of the quantity of students to serve with the institution´s infrastructure. Materials and methods. Firstly, a methodology to simulate the capacity used by the students throughout time is created. Then, with this information, an optimization model to calculate the maximum number of students that can be admitted is executed. Results. The model developed is applied in the Engineering School of Universidad del Valle, Colombia, where it was found that 25% more of students could have been admitted, using about 20 % of the capacity that can be potentially used. Conclusion. This methodological model is useful to know the capacity in terms of the number of students an institution can receive. It also facilitates midterm decisions, especially the measurement of the impact of the policies that can be formulated to favor the maximization of the service standards of the institution, and also, for instance, the impact of building new infrastructures.

Palabras clave : Simulation; optimization; university; measurement; capacity.

        · resumen en Español | Portugués     · texto en Inglés     · Inglés ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons