Akademik Veri Yönetim Sistemi
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2025 (SCI-Expanded)
.In order to minimize the potential damage and provide humanitarian and physical assistance after disasters, post-disaster management is essential. The materials for both search and rescue operations and first aid can be stored in large containers called disaster stations, and these containers are placed in various regions. Within the scope of the study, the problem of which coordinates should be placed at the optimum distance in accordance with the fair use of disaster stations is discussed. The problem is a p-median problem. As an alternative to the classical p-median problem solution, a clusteringbased solution proposal has been presented, and, in this direction, various model approaches have been developed with fuzzy-based clustering methods. In the proposed models, single iterative fuzzy c-means, revised weighted fuzzy c-means, and a genetic algorithm are used. For the application, the coordinates of the disaster gathering areas determined within the borders of the Avc & imath;lar district of the Istanbul (T & uuml;rkiye) province and the actual walking distances between the gathering areas obtained using the Google Distance Matrix API were used as a real data set. The results obtained for different models were analyzed comparatively, and it was seen that the best results were obtained with the single iterative fuzzy c-means hybridized with the genetic algorithm. The proposed fuzzy clustering-based approach provided better results than the classical p-median solution and facilitated the solvability of the problem. On the other hand, the locations determined for disaster stations with the proposed model are more efficient than the current coordinates determined by local governments.