Browsing by Author "Isleyen, Selcuk Kursat"

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    Geographic Information System-Based AHP-TOPSIS Approach for School Site Selection: A Case Study for Ankara
    (2017) Uslu, Aysenur; Kiziloglu, Kubra; Isleyen, Selcuk Kursat; Kahya, Erkay
    Identification of school zones is a multi-criteria decision-making problem, which requires a collective evaluation of many criteria, including population density, transportation facilities, level of the population covered, safety of the region. One of the important points that need to be considered during the decision-making phase is the legal restrictions. In this study, a new solution approach is suggested that uses Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods based on Geographical Information System (GIS) for identification of the most convenient location for a primary school to be opened. First, state lands that can accommodate a school in accordance with the development plan have been identified as candidate locations. Among these candidate locations, lands that comply with legal restrictions and cover students within given walking distances with other existing schools were identified as alternative locations by using ArcGIS ESRI software. Then, weights of criteria that were determined by literature reviews were calculated with AHP and alternative locations were ranked with TOPSIS method by using these weights. Suggested approach has been applied to Cankaya district of Ankara city, and results have been presented.
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    Vehicle Routing Problem in Post-Disaster Humanitarian Relief Logistics: A Case Study in Ankara
    (2017) Uslu, Aysenur; Cetinkaya, Cihan; Isleyen, Selcuk Kursat; AAH-5648-2021
    Natural disasters have been affecting the human life and causing the death of millions since the very first day the human being came into existence. Besides, it causes physical, financial, social and environmental losses and affects societies negatively by suspending daily life and human activities. In order to minimize losses, it is necessary to plan post disaster activities effectively. One of these activities is humanitarian relief logistics activities that aim to provide sufficient amount of humanitarian relief to disaster victims as soon as possible. In this paper, a multi depot vehicle routing problem with stochastic demand (SDMD_VRP) is taken into account. A mathematical model with chance constraint approach is developed for this rarely discussed problem. The proposed non-linear mathematical model is linearized with separable programming methods and examined on test problems. Lastly, a case study was carried out for Ankara-the capital city of Turkey.