Universidad Politécnica de Madrid Uses Integer Programming for Scheduling Weekly Assessment Activities

Álvaro García-Sánchez (), Araceli Hernández (), Eduardo Caro () and Gonzalo Jiménez ()
Additional contact information
Álvaro García-Sánchez: Business Administration and Statistics Department, Industrial Engineering, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Araceli Hernández: Department of Automatics, Electrical and Electronics Engineering and Industrial Computing, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Eduardo Caro: Business Administration and Statistics Department, Industrial Engineering, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Gonzalo Jiménez: Energy Engineering Department, Universidad Politécnica de Madrid, 28040 Madrid, Spain

Interfaces, 2019, vol. 49, issue 2, 104-116

Abstract: The Bologna Declaration became the guiding document of the Bologna Process, which led to the creation of the European Higher Education Area (EHEA) to coordinate higher education across Europe. The Escuela Técnica Superior de Ingenieros Industriales (ETSII) of the Universidad Politécnica de Madrid adopted one of its pillars: a student-centered learning model. This new model requires the adaptation of existing docent methodologies and the development of tools to monitor student achievements by means of continuous assessment. The implementation of this approach in bachelor’s degree programs was especially complex because of the considerable number of students and subjects involved. To meet EHEA requirements, ETSII’s board of directors and the school’s academic committee designed and implemented a method to implement periodic assessment activities for all degree programs. This method entailed a large number of activities across all courses that had to be scheduled to ensure that all requirements would be met. The schedule was generated manually until the volume of activities increased such that manual scheduling was no longer viable. To address this problem, we implemented two integer programming models, which we have successfully applied since the 2013–2014 academic year.

Keywords: integer programming; optimization; scheduling; exams; timetabling (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.1287/inte.2018.0975 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:49:y:2019:i:2:p:104-116

Access Statistics for this article

More articles in Interfaces from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().