UDC 338

ARTIFICIAL INTELLIGENCE IN LEAN MANUFACTURING: INTEGRATION MECHANISMS AND WAYS TO IMPROVE MANAGEMENT EFFICIENCY Artificial intelligence in lean manufacturing: integration mechanisms and ways to improve management efficiency

Published in Journal of Applied Research · Issue 6, 2026 · ELocator: 111-119 · Rubric: ECONOMICS. ECONOMIC SCIENCES.
DOI: https://doi.org/10.34755/IROK.2026.46.95.013
Received: 31.08.2026 Accepted: 15.09.2026 Published: 15.09.2026
The article explores the mechanisms of integrating artificial intelligence into the methodology of lean manufacturing as a driver of increasing the efficiency of industrial enterprise management. Based on the analysis of international experience – the TCS–AWS study (216 senior executives in North America and Europe), the implementation of the Ollo Factory at Suzuki plants, the experience of L2L Execution AI on the AWS platform, as well as Russian practice (Lyubimiy Kray confectionery, general analysis of the AI solutions market) - the key issues are considered. areas of Lean and AI synergy: predictive analytics to prevent downtime, automated loss detection, intelligent routing and dynamic planning, quality control based on computer vision. Based on empirical data, two tables are presented that characterize the readiness of enterprises to implement AI and key areas of application in the context of Lean. It is concluded that the system integration of AI with the principles of lean manufacturing makes it possible to move from reactive to proactive management, but requires the preliminary elimination of digital chaos and strategic alignment with production processes.
artificial intelligence, lean manufacturing, predictive analytics, performance management, digital transformation, Industry 4.0, Industry 5.0
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