KAI Launches KRW 29.3 Billion Project to Predict Weapon System Failures with AI

Develop AI-powered military logistics analytics platform over 48 months
Demonstrate technology on land, sea, and air weapon systems, including fighter jets, tanks, and naval vessels

Korea Aerospace Industries (KAI) is using artificial intelligence (AI) to predict weapon system failures and maintenance needs, while improving operational efficiency.

KAI said it held a kickoff meeting for the development of a “RAM-C AI Agent” at the Daejeon Convention Center on the 4th, with around 100 attendees, including officials from the Ministry of National Defense, the Ministry of Trade, Industry and Energy, the Civil-Military Technology Cooperation Promotion Agency, the military, and the government.

Attendees pose for a commemorative photo at a kickoff meeting for the development of a RAM-C AI agent based on military logistics big data, held at the Daejeon Convention Center on the 4th. KAI

KAI was selected in September as the lead research and development institution for the project and signed an agreement with the Civil-Military Technology Cooperation Promotion Agency. The project is a cross-ministerial technology development initiative funded by the Ministry of National Defense and the Ministry of Trade, Industry and Energy and led by the Agency for Defense Development’s Civil-Military Technology Cooperation Promotion Agency. It will run for 48 months with a total investment of KRW 29.3 billion.

The project’s main goal is to build a platform that integrates and analyzes data generated throughout the entire lifecycle of weapon systems, from development and acquisition to operation, maintenance, and performance upgrades. AI will be used to analyze weapon systems’ reliability, availability, maintainability, and cost (RAM-C), and to predict the likelihood of failures, when components will need to be replaced, and maintenance costs.

In particular, the project plans to introduce a conversational AI agent that can search and analyze military logistics data in real time and provide information needed for decision-making when users ask questions in everyday language.

KAI has formed a domestic consortium to conduct technology demonstrations using major Army, Navy, and Air Force weapon systems, including the FA-50 fighter, K2 tank, Maritime Surveillance Radar-II, and naval vessels. It plans to verify the technology’s applicability in the field using actual operational, maintenance, and sensor data, and to establish a foundation for expanding its use across the armed forces.

Once development is complete, the technology is expected to help reduce operational disruptions and increase availability by predicting weapon system failures in advance. It is also expected to strengthen competitiveness in maintenance, repair, and overhaul (MRO) services that support maintenance and parts supply for weapons exported overseas.

“This research is significant because it will help us establish data-driven logistics decision-making technology that combines military logistics data and AI to improve weapon systems’ availability and operational efficiency,” said Park Kyung-eun, executive vice president and head of KAI’s CS Division. “Through demonstrations involving Army, Navy, and Air Force weapon systems, we will improve the technology’s applicability in the field and expand its use to K-defense exports and follow-on logistics support.”

This content was produced with the assistance of AI translation services.