Article: AI enabling mechanism of 'lighthouse factory' from the perspective of complex system theory Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.58 pp.1 - 22 Abstract: In the global wave of digital transformation in manufacturing, the in-depth exploration of the AI empowerment mechanism of 'lighthouse factories', as industry benchmarks, holds significant importance. This study innovatively analyses the AI empowerment mechanism of 'lighthouse factories' from the perspective of complex systems theory. By constructing a theoretical framework based on the characteristics of complex systems, including multi-scale and nonlinear interactions, it derives dynamic evolution equations to accurately depict the complex operational state of 'lighthouse factories'. The research findings show that AI empowerment significantly enhances key performance indicators of 'lighthouse factories,' such as reducing order delivery cycles by 46.4% and improving energy efficiency by 23.6%. Additionally, it clarifies the phase transition points of complex systems, providing critical guidance for corporate digital transformation. This study provides a solid theoretical basis and practical solutions for manufacturing to achieve intelligent upgrades through AI, helping companies enhance their competitiveness in a complex and ever-changing market environment. Inderscience Publishers - linking academia, business and industry through research

Title: AI enabling mechanism of 'lighthouse factory' from the perspective of complex system theory

Authors: Lingjiao Wu

Addresses: School of Digital Economics, Changzhou College of Information Technology, Changzhou, 213164, China

Abstract: In the global wave of digital transformation in manufacturing, the in-depth exploration of the AI empowerment mechanism of 'lighthouse factories', as industry benchmarks, holds significant importance. This study innovatively analyses the AI empowerment mechanism of 'lighthouse factories' from the perspective of complex systems theory. By constructing a theoretical framework based on the characteristics of complex systems, including multi-scale and nonlinear interactions, it derives dynamic evolution equations to accurately depict the complex operational state of 'lighthouse factories'. The research findings show that AI empowerment significantly enhances key performance indicators of 'lighthouse factories,' such as reducing order delivery cycles by 46.4% and improving energy efficiency by 23.6%. Additionally, it clarifies the phase transition points of complex systems, providing critical guidance for corporate digital transformation. This study provides a solid theoretical basis and practical solutions for manufacturing to achieve intelligent upgrades through AI, helping companies enhance their competitiveness in a complex and ever-changing market environment.

Keywords: lighthouse factory; AI enabled; complex systems theory; digital transformation.

DOI: 10.1504/IJICT.2026.153806

International Journal of Information and Communication Technology, 2026 Vol.27 No.58, pp.1 - 22

Received: 12 Nov 2025
Accepted: 25 Dec 2025
Published online: 26 May 2026 *

Title: AI enabling mechanism of 'lighthouse factory' from the perspective of complex system theory

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