We worked closely with Southwest’s network planning and network operations departments to understand and model its business operations. We built a digital twin of Southwest’s operations using discrete event simulation and modeled all important operations, such as:
- Flight delays
- Disruptions due to maintenance
- Weather or air traffic control
- Crew and passenger movements
- Airport congestion, and
- Schedule recovery of deviations and disruptions.
Using advanced machine learning, we modeled airline processes and validated them against historical data, achieving 98% accuracy for critical KPIs. We developed new techniques to identify problem areas, including flights that cause critical delays in the network. We adjusted flight times and aircraft rotations to improve schedule reliability without compromising profitability. SkySYM combines our simulation and optimization algorithms with an advanced decision support system, where users can define data inputs, prepare scenarios, run simulations and view schedules using intuitive visualization tools.