The railroad is the second oldest mode of transportation still in operation and remains the backbone of supply chains across all continents. It is therefore important to keep the technology used in railway networks up-to-date and continuously introduce innovation into the system.
Speaking of backbones: SAP systems handle 77% of the world’s transaction revenue and connect millions of companies in 190 countries for optimized visibility, collaboration and resilience across the supply chain. SAP, therefore, serves as the backbone of global supply chains.
SAP offers two different modules focused on railway operations: SAP Transportation Management and SAP Yard Logistics. In this blog, we will explore innovations in planning, managing and monitoring operations at railway hubs – whether for service providers (railroad companies) or shippers (manufacturers or trading companies) – using SAP Yard Logistics.
The planning of shunting movements and transitions is based on the destination codes of the rail cars (either the destination railroad station or the unloading/loading point of the rail car), following a simple First-In-First-Out (FIFO) approach. No other data is taken into account for this planning.
It’s no longer just a question of whether cars from a delayed inbound train can still reach the planned outbound train. It is the question of whether it is necessary to reach the planned outbound train or alternative options exist that avoid excessive operational costs. This approach will significantly enhance the operational efficiency and reduce overall transportation costs.
For decades, yard workers and operators had limited system guidance on where to position incoming or temporarily parked cars – and this guidance was based on fixed timetables in the system. With the introduction of AI-driven capacity management, optimization can be enhanced by factoring in traffic patterns. This means working not only with scheduled times of arrival and departure but also with predicted arrivals and departures, considering both historic data and the current traffic situation.
So what’s the conclusion?
SAP systems bring the innovation needed in railway logistics, which present a significant opportunity to enhance operational efficiency, reduce costs, and improve overall supply chain resilience. By fostering a collaborative environment that leverages real-time data and AI capabilities, railway hubs can transform into dynamic, responsive centers of logistics excellence. This evolution is essential for maintaining the competitiveness and relevance of rail transport in the modern supply chain landscape.