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Yuk tashish hujjat aylanishi jarayonlarida ma'lumotlar oqimini optimallashtirishning intellektual yondashuvlari

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MAQOLA ANNOTATSIYASI

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Temir yo'llarda yuk tashish xizmatlarining samaradorligini oshirish maqsadida hujjat aylanishi jarayonlarini avtomatlashtirish va optimallashtirish zarurati tug'ilmoqda. Sun'iy intellekt va ma'lumotlarni tahlil qilish usullaridan foydalanib, ma'lumotlar oqimini optimallashtirishning imkoniyatlari tadqiq etiladi.

MUALLIFLAR

A.Tukhtakhodjaev

Тashkent State Transport University

Teglar

# optimization# artificial intelligence# optimallashtirish# yuk tashish# data flow# freight transportation# hujjat aylanishi# ma'lumotlar oqimi# intellektual yondashuvlar# sun'iy intellekt# documentation circulation# intellectual approaches

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Maqola idintifikatorlari

ROI:

https://eroi.uz/11.0206/A0125-0026

DOI:

Mavjud emas

Foydalanilgan adabiyotlar

Abdullayev A. "Logistika tizimlarida ma'lumotlar oqimini boshqarish". Toshkent: Logistika nashriyoti, 2020.

Karimov B. "Sun'iy intellekt va uning transport sohasidagi qo'llanilishi". Transport va logistika jurnali, 2021, №3, 45-52-betlar.

Smith J. "Intelligent Approaches to Data Flow Optimization in Freight Transportation". International Journal of Logistics, 2019, Vol. 22, Issue 4, pp. 345-360.

Lee K., Park S. "Digital Transformation in Railway Freight Documentation". Journal of Transportation Technologies, 2020, Vol. 10, pp. 150-162.

O'zbekiston Respublikasi Transport vazirligi rasmiy sayti: www.mintrans.uz

Chen Y. "Application of Machine Learning in Logistics Data Management". Logistics Research, 2018, Vol. 11, Issue 2, pp. 89-101.

Ivanov D. "Big Data Analytics in Railway Freight Transportation". Procedia Computer Science, 2019, Vol. 159, pp. 1086-1095.

Wang L., Zhang X. "Optimizing Data Flow in Supply Chain Management Using AI Techniques". International Journal of Supply Chain Management, 2021, Vol. 6, Issue 3, pp. 23-35.