The Impact of Disruptions
Studies have estimated that irregular operations can cost between 2% and 3% of the airline annual revenue and that a better recovery process could result in cost reductions of at least 20% of its irregular operations.
Millions of Flights Delayed
Millions of Passengers Delayed.
Millions of Euros in Costs of Delayed Flights
* Data for Europe only in 2014
The traditional sequential approach
leads to an unbalanced solution
Typically, the Airline Operations Control Centers (AOC)
as well as the current solutions proposed by others,
follow a sequential approach which imposes a natural order of importance
leading to an unbalanced solution.
Why the traditional approach doesn’t work…
Goal Achievement of a Traditional Approach
Each part of the problem has different goals:
The Aircraft and Crew part minimize direct costs; the Passenger part minimize the direct costs and increase passenger goodwill.
The global perspective wants to balance the goals of the three previous parts.
The multi-agent model driven solution
We use the Multi-Agent System (MAS) paradigm to represent the roles that exist in the AOC
combined with advanced distributed artificial intelligence techniques.
MASDIMA core features and benefits
Goal Achievement of Our Approach
Our approach allows to achieve a balanced integrated solution.
This means that each part improves each own goals and at the same time improving the global objective.
Real data simulated experiments show that MASDIMA has the possibility of reducing the cost with IROPS between 13% to 48%, reduce by 86% the flight delays and increase the passenger satisfaction by 58% (on average)
Suitable for all means of transport
If your business is getting passengers or cargo from point A to point B, our solution is transport mean-independent.
Either by air, land or sea, MASDIMA can help you overcome disruptions in the most intelligent cost-effective way.
Meet our team
We believe in a multidisciplinary team who has been dealing in the resolution of real-world problems in the areas of artificial intelligence, airline operations and large scale information systems management in the past 30 years.FIND OUT MORE ABOUT US