PROGRAM ALLOCATION PROCESS IMPROVEMENT BY AN ASSIGNMENT MODEL

As the only source of jet pilot candidates for Turkish Air Force, Air Force Academy (TuAFA) applies several screening processes in order to acquire an average group of 150 cadets from civilian high school graduates each year. Besides the nationwide examinations (YGS-LYS), there are several others such as medical, flight, athletics evaluations and etc. Because the number of criteria for screening is large, the spread of the distribution of YGS-LYS scores of the candidates, which is assumed to be the aptitude towards college education, is a lot wider than those of other universities. Although admission to faculty for civilian high school students is regulated by the YGS-LYS score; in order to provide a balance distribution among different programs in terms of YGS-LYS score, placement to aerospace, electronics, computer and Industrial engineering programs of the Faculty is governed by a special directive. Although the directive considers candidates’ preferences, the ultimate goal of the algorithm in the directive is to keep the balance of academic success among different programs in the allocation process. In this study, we propose an alternative assignment model which tries to minimize the deviations from students’ preferences while maintaining the balance of the distribution among programs. Through simulation from different preference distributions with different number of students, it has been showed that regardless of the number of students and distribution of preferences,first choice allocation performance of the proposed model is significantly better than the directive’s algorithm