Supporting Humanitarian Logistics with Intelligent Applications for Disaster Management

The management of humanitarian logistical operations was for many years the weak link in the relief chain. Within the advent of big data, this challenge has been changing life and the way of dealing in the humanitarian field. Data is increasing exponentially due to the growing digitization of modern life and the further evolution of data collection in combination with the digital technology. More and more humanitarian organizations designed numerous system with specific objectives in order to manage the massive amounts of data. Hereby, we propose an intelligent application scenario for disaster management. Here, we use the multi-source information correlation together with the implementation of our own approach based on sudoku principles for supporting humanitarian logistics. This paper aims to show how our system can alert and provide decision support for disaster response and recovery management through the integration of heterogeneous data sources from different organizations. Keywords–Data linkage; Disaster Information; Knowledge Base System.