An analytic hierarchy process based mathematical programming model for university timetabling problem

Today, timetabling becomes a widespread problem in all educational institutions. In existing systems once course selection is made, options are reviewed and changed according to the request of instructors. Instructors timetables are scheduled without prioritizing the views and priorities of the instructors. In this study, a Mathematical Programming Model (MPM) has been developed for solving a case of timetabling problem at Çankaya University. The weight of preferences, i.e. the objective function coefficients of the MPM Model will be based on AHP. The model proposed in this study has two main categories of objectives: instructor preferences and student preferences. The data used to calculate weights of preferences were collected via instructors' and students' questionnaires. The results obtained from the weighting approach used for the two main objectives were used in the mathematical model and timetables have been generated.