Introduction
Optimizing aircraft turnaround time is a critical task for airlines looking to maximize efficiency and minimize costs. Delays in turnaround time can lead to lost revenue opportunities and increased costs associated with aircraft operations. According to industry estimates, up to 15% efficiency can be achieved in current turnaround processes and technologies.
One of the most significant contributors to turnaround delays is refueling, accounting for a whopping 56% of all such delays. The typical cost for turnaround operations for a B737 is $70/hour. The good news is that a 25% uplift in refueling efficiency can reduce turnaround time (TAT) by up to 3 minutes, which can translate into significant cost savings for airlines. For airlines with a fleet size of around 500 aircraft, reducing cycle time by 4-6 minutes can free up 2-3% of the fleet, potentially leading to cost savings of between $30-75M through TAT optimization.
But how can airlines achieve these efficiencies? Our breakthrough solution for TAT Optimization offers significant benefits to both airlines and airports. By reducing the cost of operations and minimizing ground time, our solution enables better aircraft utilization and provides opportunities for airlines to operate on newer routes, ultimately leading to increased revenue opportunities for both airlines and airports. It utilizes real-time feeds from airport cameras at gates, analysing video feeds in real-time through advanced AI/ML algorithms over a scalable cloud platform. The system analyses moveable and immovable objects on the tarmac, such as luggage carts, trolleys, cargo, fuel trucks, tugs, catering trucks, cleaning staff and equipment, and other objects, to determine turn events that could delay TAT. The system also generates pre-configured alerts and notifications to enlisted subscribers. It provides a true Omni channel customer experience via state-of-the-art dashboards.
The solution landscape
The backbone of TCG Digital’s solution is built on AWS infrastructure. Video feeds from gate cameras at airports are captured using AWS IoT Core and published onto Kinesis Video Stream. The Orchestrator running on ECS Fargate consumes the videos and uses a pre-trained inference model running on an EC2 instance to generate turnaround events. It then publishes those events onto a Kinesis Data Stream. A Lambda function consumes these events and mutates them to an AppSync API to be displayed on the turnaround dashboard. A rules engine built using Step Function analyses the events and raises alerts in case of any potential delays.
In conclusion, TCG Digital’s TAT optimization solution is a game-changer for airlines looking to improve efficiency, reduce costs, and enhance the passenger experience. By reducing turnaround time, airlines can increase revenue opportunities, operate more efficiently, and provide a more seamless travel experience for their passengers.
The solution backbone