Aerogility Predictive Maintenance Solution to forecast powerplant visits for SAS:
20 November 2019: Aerogility's cloud-based predictive maintenance planning and forecasting solution will now be used to plan the maintenance and engineering requirements for SAS (Scandinavian Airlines). Accordingly, there will be optimised workscopes, initially focusing on powerplant shop visits and operational costs prepared by Aerogility.
The software as a service (SaaS) solution will automatically generate optimised maintenance plans based on a multi-agent model of the SAS fleet and operations.
Arising from research into AI and autonomous systems, Aerogility's intelligent agents function as 'actors' in virtual model-driven simulations that represent SAS' entire MRO operation
Advantages -
1.SAS fleet planners can handle complex planning factors quickly and easily
2.The transparency of the simulations means the analytics and scheduling results are explicable and understandable - an important factor in safe and trusted decision-making
3.By comparing different plans and strategies, fleet planners can optimise the maintenance and engineering programs for the SAS fleet, achieving the wider goals of overall efficiency and sustainability.
Phil Cole, Civil Aviation Business Manager at Aerogility, adds: "The key feature in the latest version of Aerogility is a functionality that enables the planner to define the workscope for each powerplant unit. Aerogility provides predicted utilisation statuses for each of the three main modules, enabling the planner to make an informed decision and customise the workscope accordingly."
Having a large and diverse fleet ranging from Airbus A319, A320, A320neo, A321 aircraft, as well as Boeing 737s, SAS wanted a solution that could not only handle powerplant shop visit scheduling, but also help in the phasing out of 737s and introduction of new Airbus aircraft.
SAS is now planning to extend its use of Aerogility to cover heavy base maintenance scheduling.
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