TA’MINOT ZANJIRINI BOSHQARISHDA SUN’IY INTELLEKTDAN FOYDALANISHNING AFZALLIKLARI
Ключевые слова:
sun’iy intellekt, ta’minot zanjiri, bashoratli analitika, avtomatlashtirish, risklarni boshqarishАннотация
Maqolada ta’minot zanjiri boshqaruvini optimallashtirishda sun’iy intellekt (SI) texnologiyalarining roli o‘rganiladi. SI yordamida bashoratli analitika, avtomatlashtirish, risklarni aniqlash va boshqarish, mijozlarga xizmat ko‘rsatishni yaxshilash kabi imkoniyatlar tahlil qilinadi. Shuningdek, SI texnologiyalarini joriy etishdagi asosiy muammolar va ularning yechimlari muhokama qilinadi
Библиографические ссылки
Thormundsson, B. (2023). AI adoption rate within supply chain business 2022. [online] Statista. Available at: https://www.statista.com/statistics/1346717/ai-function-adoption-rates-business-supply-chains/.
Waller, M. A., & Fawcett, S. E. (2013). Data science, predictive analytics, and big data: A revolution that will transform supply chain design and management. Journal of Business Logistics, 34(2), 77-84.
Choi, T. M., Cheng, T. C. E., & Zhao, X. (2017). Supply chain coordination and collaborative planning: Challenges and opportunities. Transportation Research Part E: Logistics and Transportation Review, 96, 1-11.
Makridakis, S., Spiliotis, E., & Assimakopoulos, V. (2018). Statistical and Machine Learning forecasting methods: Concerns and ways forward. International Journal of Forecasting, 34(4), 669-702.
Kshetri, N. (2018). 1 Big Data’s Impact on Supply Chain Management. In Big Data for Development (pp. 1-22). Springer.
Saghafian, S. (2016). Impact of supply chain flexibility on supply chain responsiveness and sustainability. International Journal of Production Economics, 182, 203-214.
Torres, R. (2022). How Walmart enhances its inventory, supply chain through AI. CIO Dive.
Drozdov, A. (2024). Real-Time Route Optimization with AI Solutions.
Market.us (2024). AI in Supply Chain Industry Booms.
H. L. Lee (2004). Supply Chain Management: A Strategic Perspective.