2026-10-29T21:47:57Zhttps://munzur-rdlopen.rawdatalibrary.net/oai/requestoai:munzur-rdlopen.rawdatalibrary.net:munzur/54302026-10-28T15:07:15Zopenairecom_munzur_1col_munzur_2A stochastic location and allocation model for critical items to response large-scale emergencies: A case of TurkeyCelik, ErkanAydin, NezirGumus, Alev TaskinBilgisayar Bilimleri, Yazılım Mühendisliğiİnşaat MühendisliğiÇevre MühendisliğiThis paper aims to decide on the number of facilities and their locations, procurement for pre and post-disaster, and allocation to mitigate the effects of large-scale emergencies. A two-stage stochastic mixed integer programming model is proposed that combines facility location-prepositioning, decisions on pre-stocking levels for emergency supplies, and allocation of located distribution centers (DCs) to affected locations and distribution of those supplies to several demand locations after large-scale emergencies with uncertainty in demand. Also,theuseofthemodelisdemonstratedthroughacasestudyfor prepositioning of supplies in probable large-scale emergencies in the eastern and southeastern Anatolian sides of Turkey. The results provide a framework for relief organizations to determine the location and number of DCs in different settings, by using the proposed model considering the main parameters, as; capacity of facilities, probability of being affected for each demand points, severity of events, maximum distance between a demand point and distribution center.2017Articlehttps://rdlopen.rawdatalibrary.net/r/munzur/54302146-0957enAn International Journal of Optimization and Control: Theories & Applications (IJOCTA)info:eu-repo/semantics/closedAccessinfo:eu-repo/semantics/articlehttps://munzur-rdlopen.rawdatalibrary.net/tr/items/munzur/5430