Optimizer for Shift Schedules and Timetables in Companies and Educational Institutions using Matheuristic Techniques (Smartiming)

Principal investigators: Jesús Sánchez-Oro, Sergio Pérez Peló
Department: Computer Science and Statistics
Funding entity: Confidential (not disclosed)

Description

Smartiming is an R&D contract project focused on developing an optimizer for shift schedules and timetables for companies and educational institutions. By using matheuristic techniques — combining mathematical programming methods with metaheuristics — the system generates high-quality schedules that respect the operational, educational, and organizational constraints of each entity.

The resulting tool allows the shift assignment, duty planning, and class timetabling processes to be automated and significantly improved, reducing management costs and increasing end-user satisfaction.

For confidentiality reasons, no further information is provided about the contracting entity or the specific details of the project.

Jesús Sánchez-Oro
Jesús Sánchez-Oro
Associate Professor

Associate Professor at the Computer Science Department, being one of the senior researchers of the Group for Research on Algorithms For Optimization GRAFO.

Sergio Pérez-Peló
Sergio Pérez-Peló
Phd in Artificial Intelligence

PhD student at Universidad Rey Juan Carlos