Learning from Japan: how to transform a fleet at speed
An artist’s impression of the Japanese ASEV destroyer. (Image: Japan MoD)
The Japanese Maritime Self-Defense Force (JMSDF) has had to adapt rapidly in recent years to deal with a rising threat profile in the Indo-Pacific region.
It is not alone in having to respond fast to changing threats and emerging aggressors. The US Navy (USN) for one is currently extending the lifespans of some of its oldest destroyers, while gearing up for a potential future conflict with China – the only superpower in the world with a navy that exceeds the size of its own.
But a speaker at the recent Surface Warships conference in London explained the way the
Our news & analysis is now part of Defence Insight®
A Basic-level or higher Defence Insight subscription is now required to view this content.
More from Naval Warfare
-
The FDI frigate: a growing success story with more opportunities to come
Designed as a multi-role frigate with both anti-submarine and air defence capabilities, Naval Group’s medium-sized FDI frigate increasingly stands out as a success story in an industry wrought with delays.
-
US weighs offshore warship production due to industrial limits
A Pentagon push to procure warships from Japanese and South Korean shipyards could reshape allied naval industrial strategy, but critics warn the approach risks hollowing out the domestic base Washington is seeking to restore.
-
Lessons shaping the next phase of Arleigh Burke production post-Flight IIA
The accelerated delivery of the final Flight IIA destroyer, USS Patrick Gallagher, showcases the payoff of years of workforce investment and process reform at Bath Iron Works, with the lessons feeding into Flight III production.
-
Ukraine war drives ‘minimum deployable capability’ doctrine in uncrewed systems development
Ukraine’s battlefield has rewritten the rules of uncrewed systems development. For Syos Aerospace, real-time operator feedback, lean serial production and a system-of-systems philosophy are central to its operating model.