PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 29, 2026International Journal of Information and Communication Technology0 citationsOpen Access

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

LWLingjiao Wu

Key Points

  • This research aims to analyze how AI empowers 'lighthouse factories' through the lens of complex systems theory.
  • Constructed a theoretical framework based on complex systems characteristics.
  • Derived dynamic evolution equations to describe operational states of lighthouse factories.
  • Analyzed AI's impact on key performance indicators.
  • AI empowerment reduced order delivery cycles by 46.4%.
  • Energy efficiency improved by 23.6%.
  • Identified phase transition points providing guidance for corporate digital transformation.

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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Lingjiao Wu (2026) studied this question.

synapsesocial.com/papers/6a192ee7fab5b468c44182bfhttps://doi.org/10.1504/ijict.2026.153806
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Artificial intelligence (AI) within manufacturing: An investigative exploration for opportunities, challenges, future directions2024 · 16 citations
  2. 2AI-Driven Real-time Quality Monitoring and Process Optimization for Enhanced Manufacturing Performance2024 · 84 citations
  3. 3How Artificial Intelligence Influences the Green Transformation of Manufacturing Enterprises: A Dynamic Capabilities Perspective2026 · 1 citations
  4. 4Driving factors of digital transformation for manufacturing enterprises: a multi-case study from China2021 · 59 citations
  5. 5AI-Powered Innovations in Contemporary Manufacturing Procedures: An Extensive Analysis2024 · 22 citations