Using Simulation To Improve Rail Network Efficiency
We used our network simulation system GeoSYM® to perform this study and worked closely with the company’s analytical team to understand its business processes more deeply. Next, we modeled the simulation analysis behind our system to accurately represent the company’s operations. We validated the simulation model in GeoSYM® by comparing its key performance indicators (KPIs) with real-world values and found the accuracy of modeling to be within 2%-3%.
Upon validation of the simulation model, we used our system to simulate the rail network for different capacity levels by measuring three variables independently: the number of cars, weight per car and braking system. We also evaluated the benefits of a number of operational and infrastructural improvements, including adding signals, crossovers, maintenance crew members and equipment. In our approach, we ensured that as volume increased in the network, the client could perform sufficient maintenance so track health wouldn’t deteriorate over time.
- GeoSYM® determined the most problematic areas that were contributing most to the network’s inefficiency. The system demonstrated that adding a crossover in one of these areas improved rail capacity and increased annual revenue by up to $100 million.
- GeoSYM® evaluated five potential locations for new signals and demonstrated that adding a signal at one particular location would further increase rail capacity and boost revenue by up to $100 million.