SINAV ÇİZELGELEME PROBLEMLERİNDE HOMOJEN SINAV DAĞILIMININ OLUŞTURULMASI İÇİN KÜMELEME VE HEDEF PROGRAMLAMA TEMELLİ BİR YAKLAŞIM

Abstract

This study presents a clustering and binary goal programming-based approach to create a balanced-exam schedule. The aim of the study is to create a balanced-exam schedule in terms of person workloads to achieve a certain level of satisfaction for students and professors. We first propose Ward’s method and k-means clustering algorithm for criticality level identification using credits, success ratios and types of classes. A goal programming model is then used to create an exam schedule using the criticality levels and other problem constraints. Proposed approach is illustrated with a real-life case study. We compare the exam schedule produced by the proposed approach with the real-life exam schedule. It is noted that a balanced-exam schedule is produced by our approach where the criticality levels of exams are considered. In addition, we also note that the proposed approach has a potential to be used for larger real-life exam scheduling problems.