DATA-DRIVEN WAREHOUSE SITE SELECTION IN BUCHAREST

This article presents an open-source framework for the selection of warehouses and industrial sites in Bucharest Romania. By using free available geo-spatial datasets such as OpenStreetMap, CORINE, DEM and Sentinel as well as GIS tools like QGIS and Python, the system applies MCDA with user-defined weights, budget constraints and continuous upgradation of satellite data. This approach allows identifying suitable places based on terrain, infrastructures proximity and land availability, while being low-cost and replicable. Using remote sensing, GIS and optimization, a flexible system of real-time data-driven decisions for industrial engineering application was developed.