Yöneylem Araştırması ve Endüstri Mühendisliği (YA/EM) 43. Ulusal Kongresi, Trabzon, Türkiye, 2 - 04 Ekim 2024, ss.139
In sectors with limited resources such as health, education and security, scheduling problems are still up-to-date and the studies carried out from past to present have taken their place in the literature. The reason for this is that the contents of scheduling problems differ according to the sector in which they are addressed and contain conditions specific to the organisation to which they are applied. For example, while the studies in the field of health care are mostly addressed as doctor or nurse shift scheduling, the scheduling problems examined in the field of education are grouped under three main headings: high school timetabling problem, university course timetabling problem and university exam timetabling problem. The subject of this study is the supervisor assignment problem under the university exam timetabling problem. Supervisor assignment problems are assignment problems that are used to decide in which exams the people who will take part as supervisor in exams with certain day, time, and classroom information. In this study, the main objective is to ensure that the labour force, which is a limited resource, is optimally assigned in accordance with the specified conditions. Thus, with the results obtained, a balanced schedule is created in terms of workload and fair task distribution is ensured. In this context, a multi-objective mixed integer programming model is proposed. By using this model, it is provided that the number of supervisors required to be in the classrooms at the time of the exam is met, and innovative constraints such as taking into account the requests specified by the individuals and ensuring that the tasks assigned consecutively are as close to each other as possible in terms of distance are also taken into account. This model is applied for the assignment of supervisors for the exams in the Industrial Engineering department of a public university in Istanbul and its adaptability to real life is analysed.