Opportunities for Using Artificial Intelligence and Digital Technologies to Improve the Efficiency of Manufacturing Enterprises
Keywords:
Artificial intelligence, digital technologies, manufacturing enterpriseAbstract
Artificial intelligence and digital technologies are changing the operational and managerial models of manufacturing enterprises. The purpose of this thesis is to determine how AI, the Industrial Internet of Things, data analytics, digital twins and integrated information systems can improve production efficiency. The research uses system analysis, comparative analysis and synthesis of scientific and institutional sources. The results show that the greatest effects are associated with predictive maintenance, intelligent quality control, adaptive production planning, resource optimization and real-time decision-making. However, economic benefits depend on reliable data, technological integration, cybersecurity, employee competencies and measurable performance indicators. AI-based transformation should therefore be implemented as an integrated efficiency-improvement mechanism rather than as isolated automation.
References
Lee J., Davari H., Singh J., Pandhare V. Industrial Artificial Intelligence for Industry 4.0-Based Manufacturing Systems // Manufacturing Letters. – 2018. – Vol. 18. – P. 20–23. – DOI: 10.1016/j.mfglet.2018.09.002.
Gao R. X., Krüger J., Merklein M., Möhring H.-C., Váncza J. Artificial Intelligence in Manufacturing: State of the Art, Perspectives, and Future Directions // CIRP Annals. – 2024. – Vol. 73, No. 2. – P. 723–749. – DOI: 10.1016/j.cirp.2024.04.101.
Benhanifia A., Ben Cheikh Z., Oliveira P. M., Valente A., Lima J. Systematic Review of Predictive Maintenance Practices in the Manufacturing Sector // Intelligent Systems with Applications. – 2025. – Vol. 26. – Art. 200501. – P. 1–17. – DOI: 10.1016/j.iswa.2025.200501.
Tao F., Zhang M., Nee A. Y. C. Digital Twin Driven Smart Manufacturing. – London: Academic Press, 2019. – 269 p. – DOI: 10.1016/C2018-0-02206-9.
OECD. OECD Digital Economy Outlook 2024. Vol. 2: Strengthening Connectivity, Innovation and Trust. – Paris: OECD Publishing, 2024. – 223 p. – DOI: 10.1787/3adf705b-en.
O‘zbekiston Respublikasi Prezidentining 2020-yil 5-oktabrdagi PF-6079-son “Raqamli O‘zbekiston – 2030” strategiyasini tasdiqlash va uni samarali amalga oshirish chora-tadbirlari to‘g‘risida”gi Farmoni. – Toshkent, 2020.