MATERIALLARNI ME’YORLASHTIRISH JARAYONIDA DATA ANALITIKA VA SUN’IY INTELLEKT TEXNOLOGIYALARIDAN FOYDALANISH MUAMMOLARI VA YECHIMLARI
Ключевые слова:
sun’iy intelekt, data analitika, qo‘llaniladigan sun’iy texnologiyalar, bashoratlash, taxlil qilish, qaror qabul qilish, materiallarni me’yorlashtirish, Machine Learning, raqamli ishlab chiqarish, Industriya 4.0.Аннотация
Технологии ИИ играют важную роль в обработке
больших объемов данных, эффективном использовании ресурсов и
снижении затрат в современных производственных процессах. В то же
время возникают и проблемы, такие как качество данных, техническая
инфраструктура, нехватка персонала и кибербезопасность. В статье
анализируются эти проблемы и предлагаются практические решения для
их устранения.
Библиографические ссылки
Provost, F., & Fawcett, T. (2013). Data Science for Business. Sebastopol, CA: O’Reilly Media.
Gilchrist, A. (2016). Industry 4.0: The Industrial Internet of Things. New York: Apress.
Bishop, C. M. (2006). Pattern Recognition and Machine Learning. New York: Springer.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. Cambridge, MA: MIT Press.
MDPI. (2023). Artificial intelligence in smart manufacturing systems. Micromachines.
Springer. (2026). Data-driven analytics in smart manufacturing. The International Journal of Advanced Manufacturing Technology.
ScienceDirect. (2018). Smart manufacturing standardization: A critical review. Computer Standards & Interfaces.
MIT Sloan Management Review. (2024). AI in manufacturing starts with data. MIT Sloan Management Review.
World Economic Forum. (2023). AI and the Future of Manufacturing. Geneva: World Economic Forum.
Nature. (2025). Integrating artificial intelligence and sustainable materials for smart manufacturing. Scientific Reports.
International Organization for Standardization. (2015). ISO 9001:2015 Quality Management Systems—Requirements. Geneva: ISO.
International Organization for Standardization. (2019). ISO 56002:2019 Innovation Management—Innovation Management System Guidance. Geneva: ISO.
McKinney, W. (2022). Python for Data Analysis (3rd ed.). Sebastopol, CA: O’Reilly Media.
Marz, N., & Warren, J. (2015). Big Data: Principles and Best Practices of Scalable Realtime Data Systems. Shelter Island, NY: Manning Publications.
ResearchGate. (2022). Applications of predictive analytics in industrial resource management. ResearchGate.
United Nations Industrial Development Organization. (2022). Digital Transformation in Manufacturing Industries. Vienna: UNIDO.
InterConf Scientific Platform. (2024). Artificial intelligence integration in production processes. InterConf Scientific Platform.
Yashil Iqtisodiyot va Taraqqiyot. (2024). Sanoatda sun’iy intellekt texnologiyalaridan foydalanish samaradorligi. Yashil Iqtisodiyot va Taraqqiyot Jurnali.