June 12, 2019, London: Gary Vickers, CEO of leading predictive maintenance software company, Aerogility, stresses the fundamental value of model-driven multi-agent simulations in accurate predictive maintenance scheduling.
Vickers presented Aerogility’s predictive simulation capabilities to an audience of aviation professionals at the Predictive Aircraft Maintenance Conference on 11th June to examine the role of model-driven simulations in predictive maintenance, demonstrating how they not only forecast the MRO needs of aircraft fleets now and in the future, but also prepare for unexpected and irregular events.
Speaking at the event, Vickers said: “With the demand for air travel at an all-time high, it is crucial that airlines have an optimal fleet available. In an ideal world, airlines and defence fleets would be using data-driven predictive maintenance to tell them exactly what needs to be done to their aircraft and when. However, the reality is that predictive maintenance is a complex balance of new demands, constrained resources and varying capacities, all of which need to be considered for a realistic plan.
“A good place to start is by predicting the demand for maintenance. The purpose of multi-agent software simulations is to fast-forward into the future, so that MRO teams can try out and compare different strategies, maintenance polices and planning options, and see the impact in a safe software sandpit.”
The Aerogility software enables civil and defence aerospace companies to predict realistic outcomes measured against their chosen KPIs through transparent what-if analyses and optimised schedules.
Vickers added: “Predictive maintenance planning resolves all the complex competing factors to make smarter, lower risk and more cost-effective decisions about how best to manage your assets and truly understand your fleet needs.”
Hosted by Air Transport Publications, the Predictive Aircraft Maintenance Conference was held at Radisson Blu Edwardian Hotel, Heathrow on 11th June 2019.
