Modelo de optimización para la asignación de carga académica

Translated title of the contribution: Optimization model for the load assignment of academic load

Eleazar Diaz Camacho, Laura Guerra Torrealba

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Optimizing processes is essential to reduce costs, improve product quality and ensure the sustainability of organizations. This research proposes a support system to automate the assignment of the teaching load of an educational unit, maximizing teacher satisfaction with the assigned subjects, reducing administrative times and increasing the process transparency. [1] [2] guidelines were followed, applying the integer linear programming model, using Excel and R programs to solve the mathematical problem. The findings show that 84% of teachers will have maximum satisfaction in assigned subjects, and the rest reach 80% satisfaction. Additionally, 92% of the subjects were designated to teachers with maximum experience, knowledge and preference for them, for the remaining 8% the satisfaction range was between 80-93%, which will benefit the teaching act.

Translated title of the contributionOptimization model for the load assignment of academic load
Original languageSpanish
Title of host publicationProceedings of CISTI 2021 - 16th Iberian Conference on Information Systems and Technologies
EditorsAlvaro Rocha, Ramiro Goncalves, Francisco Garcia Penalvo, Jose Martins
PublisherIEEE Computer Society
ISBN (Electronic)9789895465910
DOIs
StatePublished - 23 Jun 2021
Externally publishedYes
Event16th Iberian Conference on Information Systems and Technologies, CISTI 2021 - Chaves, Portugal
Duration: 23 Jun 202126 Jun 2021

Publication series

NameIberian Conference on Information Systems and Technologies, CISTI
ISSN (Print)2166-0727
ISSN (Electronic)2166-0735

Conference

Conference16th Iberian Conference on Information Systems and Technologies, CISTI 2021
Country/TerritoryPortugal
CityChaves
Period23/06/2126/06/21

Bibliographical note

Publisher Copyright:
© 2021 AISTI.

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