SANOAT KORXONALARIDA SUN’IY INTELLEKT ASOSIDA RESURSLARDAN SAMARALI FOYDALANISH YO‘LLARI
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sun’iy intellekt, resurs samaradorligi, prognozli texnik xizmat, raqamli egizak, buyumlar interneti, energiya samaradorligi, aqlli zavod, mashinaviy o‘qitish, iqtisodiy samaradorlik.Abstrak
Mazkur tezisda sanoat korxonalarida sun’iy intellekt texnologiyalari asosida moddiy, energetik va mehnat resurslaridan samarali foydalanishning nazariy asoslari, amaliy mexanizmlari hamda iqtisodiy samaradorlik ko‘rsatkichlari tizimli tahlil qilingan. Tadqiqotda mashinaviy o‘qitish, chuqur o‘qitish, mustahkamlovchi o‘qitish, kompyuter ko‘rish, raqamli egizak, buyumlar interneti, katta ma’lumotlar tahlili va Edge AI texnologiyalarining ishlab chiqarish jarayonlariga integratsiyalashuvi energiya sarfini kamaytirish, tannarxni pasaytirish, uskunalarning prognozli texnik xizmatini tashkil etish, logistika zanjirlarini optimallashtirish, xomashyo yo‘qotilishini qisqartirish va mahsulot sifatini oshirish nuqtai nazaridan yoritilgan. Xalqaro tashkilotlar hisobotlari hamda 2022–2026-yillarda Scopus va Web of Science bazalarida indekslangan ilmiy manbalar asosida qiyosiy tahlil o‘tkazilib, Germaniya, Yaponiya, Janubiy Koreya, Xitoy, AQSH va O‘zbekiston tajribasi solishtirilgan. ROI, OEE, TFP, resurs samaradorligi indeksi va energiya samaradorligi indeksi kabi iqtisodiy ko‘rsatkichlar yordamida sun’iy intellect joriy etishning miqdoriy samarasi baholangan. O‘zbekistonning yirik sanoat korxonalari misolida sun’iy intellect texnologiyalarini joriy etish istiqbollari asoslangan hamda o‘nta mualliflik ilmiy taklifi ishlab chiqilgan.
Iqtiboslar
Russell, S., & Norvig, P. (2022). Artificial intelligence: A modern approach (4th ed., global ed.). Pearson.
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
Porter, M. E., & Heppelmann, J. E. (2015). How smart, connected products are transforming companies. Harvard Business Review, 93(10), 96–114.
Schwab, K. (2017). The fourth industrial revolution. Crown Business.
Davenport, T. H., & Mittal, N. (2023). All-in on AI: How smart companies win big with artificial intelligence. Harvard Business Review Press.
Agrawal, A., Gans, J., & Goldfarb, A. (2022). Power and prediction: The disruptive economics of artificial intelligence. Harvard Business Review Press.
McKinsey Global Institute. (2024). The economic potential of generative AI: The next productivity frontier (updated ed.). McKinsey & Company.
World Economic Forum. (2025). Global Lighthouse Network: Adopting AI at speed and scale. WEF.
OECD. (2024). The impact of artificial intelligence on productivity, distribution and growth (OECD Artificial Intelligence Papers No. 15). OECD Publishing. https://doi.org/10.1787/8d900037-en
UNIDO. (2024). Industrial Development Report 2024: Turning challenges into sustainable solutions. United Nations Industrial Development Organization.
World Bank. (2024). Digital progress and trends report 2023. World Bank Publications. https://doi.org/10.1596/978-1-4648-2049-6
International Energy Agency. (2025). Energy and AI (World Energy Outlook special report). IEA.
Deloitte. (2024). Predictive maintenance and the smart factory: Making maintenance smarter. Deloitte Insights.
PwC. (2025). AI predictions: Industrial manufacturing perspective. PricewaterhouseCoopers.
Brynjolfsson, E., Li, D., & Raymond, L. (2025). Generative AI at work. The Quarterly Journal of Economics, 140(2), 889–942. https://doi.org/10.1093/qje/qjae044
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