Sanoatda raqamli egizak texnologiyalarining o‘rni

Sanoatda raqamli egizak texnologiyalarining o‘rni

Авторы

  • Sanjarbek Ibragimov

DOI:

https://doi.org/10.5281/zenodo.17090113

Ключевые слова:

Raqamli egizak (Digital Twin), Zamonaviy ishlab chiqarish jarayonlari, IoT (Narsalar interneti), Sun’iy intellekt (AI), 5G texnologiyasi, Sanoat 4.0, Texnik xizmatni rejalashtirish

Аннотация

Ishlab chiqarish texnologiyalarining rivojlanishi sanoat faoliyatini tubdan o‘zgartirib, raqamli egizak
texnologiyalari inqilobiy yechim sifatida maydonga chiqmoqda. Raqamli egizak — bu real obyektlarning virtual modeli
bo‘lib, u real vaqt rejimida kuzatish, tahlil qilish va jarayonlarni optimallashtirish imkonini beradi. Ushbu maqolada
raqamli egizak texnologiyasining mohiyati, uning qo‘llanilishi va zamonaviy ishlab chiqarishda samaradorlik, xarajatlarni
qisqartirish va innovatsiyalarni rivojlantirishdagi ahamiyati o‘rganiladi. Shuningdek, ushbu texnologiyani joriy etishdagi
muammolar tahlil qilinib, kelajak istiqbollari yoritib beriladi

Биография автора

Sanjarbek Ibragimov


Andijon davlat texnika instituti
“Axborot texnologiyalari” kafedrasi dotsenti, t.f.f.d. (PhD)

Библиографические ссылки

Grieves, M. (2014). Digital Twin: Manufacturing Excellence through Virtual Factory Replication. Florida Institute of

Technology.

Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2019). Digital Twin in Industry: State-of-the-Art. IEEE Transactions on

Industrial Informatics, 15(4), 2405-2415.

Boschert, S., & Rosen, R. (2016). Digital Twin—The Simulation Aspect. In Mechatronic Futures (pp. 59-74). Springer,

Cham.

Lee, J., Bagheri, B., & Kao, H. A. (2015). A Cyber-Physical Systems Architecture for Industry 4.0-Based Manufacturing

Systems. Manufacturing Letters, 3, 18-23.

Negri, E., Fumagalli, L., & Macchi, M. (2017). A Review of the Roles of Digital Twin in CPS-Based Production Systems.

Procedia Manufacturing, 11, 939-948.

Qi, Q., & Tao, F. (2018). Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison.

IEEE Access, 6, 3585-3593.

Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The Impact of Digital Twin on Supply Chain Resilience and Risk Management.

IFAC PapersOnLine, 52(13), 42-47.

Xu, L. D., Xu, E. L., & Li, L. (2018). Industry 4.0: State of the Art and Future Trends. International Journal of Production

Research, 56(8), 2941-2962.

Загрузки

Опубликован

2025-07-01
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