We possess functional expertise in simulation, optimization and machine learning to design the Advanced Analytics tools you need.
Mathematical Optimization, also known as Mathematical Programming, involves the process of finding the optimal solution for a given problem by mathematically formulating it and employing specialized algorithms. It aims to maximize or minimize an objective function while satisfying a set of constraints. By systematically exploring various possibilities, mathematical optimization enables us to make informed decisions and achieve optimal outcomes in fields like finance, engineering and logistics.
In aviation, optimization techniques help allocate airport slots, plan airline routes or schedule aircraft maintenance.
Monte Carlo Simulation
Monte Carlo Simulation is a computational technique used to estimate and analyze the behavior of complex systems or processes by simulating random variables. It involves repeatedly generating random samples and using them to evaluate various scenarios. By running numerous iterations, patterns and trends can be identified. It is a powerful tool to make informed decisions in situations involving uncertainty, enabling us to understand the range of possible outcomes and take appropriate action.
In aviation, we can apply simulation to assess the impact of different arrival/departure procedures at airports to improve flight sequences and runway capacity utilisation.
Machine Learning is a branch of artificial intelligence that focuses on developing algorithms and models capable of learning from data and making predictions or decisions without being explicitly programmed. It involves training a system with historical data to identify patterns, relationships, and trends, enabling it to make accurate predictions or classifications.
In the aviation industry, machine learning can be employed in predictive maintenance, where algorithms analyze sensor data to detect anomalies and predict component failures.
Our industry expertise spans all important players across the aviation landscape.