A mathematical programming tool for an efficient decision-making on teaching assignment under non-regular time schedules

In this paper, an optimization tool based on a MILP model to support the teaching assignment process is proposed. It considers not only hierarchical issues among lecturers but also their preferences teach particular subject, non-regular time schedules throughout academic year, different type of credits, number groups and other specific characteristics. Besides, it adds restrictions compatibility subjects, lecturers’ availability, maximum subjects per lecturer, subject as well minimum saturation level for each all them in order increase quality. Schedules heterogeneity features regarding operation some universities justify usefulness since no study that deals with has been found literature review. Model validation performed two real data sets collected from one year schedule at Spanish University Universitat Politècnica de València.