Royal Navy invests in AI for predictive maintenance

MDN İstanbul

The Royal Navy has embarked on a significant venture in advanced maintenance technology, signing a 15-year contract worth $2.3 billion with Thales, a defense contractor. This agreement marks one of the largest commitments to predictive maintenance based on “big data” analytics, underscoring the growing importance of such technologies in military operations

Thales will employ AI-driven methods to maintain its systems across the Royal Navy fleet, aiming to substantially improve maintenance efficiency. The contract’s ambitious goals include reducing shipboard repair turnaround times by an average of 100 days, decreasing spare part lead times by 44 days, and enhancing system reliability by 10 percent. Thales attributes these improvements to data-driven decision-making and a proactive approach to maintenance.

In addition to software solutions, the contract also funds the development of new dockland facilities for physical maintenance activities. These facilities, located in strategic naval bases including Devonport, Faslane, Portsmouth, and Bahrain, will facilitate Thales’ on-site repair support for the Royal Navy.

This agreement will not only sustain a significant workforce but also represents a generational commitment, as highlighted by Thales UK’s Chairman and CEO, Alex Cresswell. The contract will support a range of naval assets, including Type 23 and Type 45 surface combatants, Sandown and Hunt MCM vessels, and submarines. It will also extend to emerging platforms like the unmanned mine countermeasures program, the Type 26 and Type 31 frigates, and the new Dreadnought submarines.

The maintenance will cover hightech equipment such as sonar systems, periscopes, submarine masts, and electronic warfare equipment, primarily manufactured by Thales, demonstrating the company’s deep integration into the Royal Navy’s operational infrastructure.

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