Technology heavyweights Aerogility and Robbins-Gioia collaborate to optimise US defence fleet modifications and maintenance management

22 Oct 2024

Robbins-Gioia collaborate with Aerogility, the AI decision support system specialists for civil and defense aviation.

Left to right: Malcolm Bridgeford (Aerogility COO), Gary Vickers (Aerogility CEO), Lt Gen Giovanni K. Tuck (ret.) (Robbins-Gioia CEO), and Barett Byrd (Robbins-Gioia COO).

Two of the aviation sector’s leading software companies, Aerogility Inc and Robbins-Gioia LLC, are announcing their collaboration to create a pioneering fleet modification and maintenance management solution.

The partnership brings together Aerogility’s expertise in predictive AI forecasting and planning for global aerospace, airlines, and defence businesses with Robbin-Gioia’s innovative process engineering, systems modernisation, and enterprise optimisation solutions for fleet depots in the US and around the world.

These two organisations have collaborated to create an innovative AI solution which will deliver better execution over a fleet’s lifecycle, increase operational efficiency, and improve both near and long-term decision-making opportunities. By minimising downtime and enhancing resource efficiency, defence fleet managers can complete modification and overhaul programs within budget and with maximum aircraft availability.

Gary Vickers, CEO at Aerogility, said, “Defence fleets face mission-critical challenges daily and a streamlined execution of modification and overhaul programs is crucial to their success. With many aging fleets worldwide, optimising the required maintenance and modifications within a set budget and timeframe can be a challenge. However, by leveraging Robbin-Gioia’s MRO experience with Aerogility’s proven AI models, we can achieve maximum aircraft availability for defence organisations.”

Giovanni Tuck, Lt Gen (Ret), CEO at Robbins-Gioia, commented, “Robbins-Gioia’s speciality has always been in optimising and accelerating productivity in depots, shipyards, and plants by using critical path and critical chain algorithms to improve resource management and increase flexibility in work schedules — all with an eye on quality.”

“By adding an enterprise digital twin of a fleet — made possible by Aerogility’s holistic AI models and what-if scenario capabilities — decision making is made clearer through realistic and trusted simulations of asset availability, sustainment, and costs over the whole fleet’s lifecycle, resulting in optimally balanced plans.”

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