UAV base location selection for the protection of Turkish land, air and sea borders
2021
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Advisor: Prof. Dr. Serpil Erol
Abstract (EN)
The purpose of this study is to bring a scientific approach to the selection, planning and deployment of military technologies in the inventory of modern armies of developed countries. The problem of where to deploy the Unmanned Aerial Vehicles (UAV), which are used to ensure the security of the borders of the country and to intervene in possible threats immediately, has been emphasized. Multi Criteria Decision Making (MCDM) methods were used for the selection of UAVs and determination of candidate bases where these vehicles will be located, and the locations where the bases will be established were determined with the help of linear programming and goal programming. For the solution to be found to be more effective and accurate, MCDM and mathematical modeling methods were used together in an integrated manner. After selecting the right UAVs for the right mission with 6 different MCDM methods, the candidate base locations were determined by making use of Geographical Information Systems (GIS). In the next step, demand points were created, considering that the task to be carried out is border protection. Later, the problem was solved as a maximum coverage problem with linear programming and goal programming models on different scenarios. In the model, the location of the UAV bases where the highest demand points will be covered has been determined under different constraints. In addition, the questions such as which UAV type should be on which base, which demand point will be covered by which UAV were decided with the goal programming model established. The result of this study; efficient, deterrent and high-duty UAV planning has been made and a solution has been developed to ensure the maximum security of the country.
Author
Dr. Aygün Altundaş
How to Cite
Aygün Altundaş (Master Thesis). UAV base location selection for the protection of Turkish land, air and sea borders, 2021, Gazi University.
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