Near real-time big data analytics for NFC-enabled logistics trajectories

Big Data refers to a data set which collects large and complex data that is hard to process using traditional applications. With the increasing usage of RFID technology and location based services, logistics warehouse control is facing Big Data. Volume Information generated by each product can be huge as it moves through different locations. Focused on traceability, the system proposed in this paper allows through different modules to follow movement of products, manage inventories and optimize stock bearings for materials destined for the production and / or distribution. In fact, the proposed system collect products locations using RFID technologies, models and warehouse products trajectories to support the logistics management and decision-makings such as logistics planning and scheduling of a warehouse.