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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.

  • Web Address
  • DOI
  • Date of creation in the UzSCI system 20-01-2025
  • Read count 42
  • Date of publication 28-12-2024
  • Main LanguageO'zbek
  • Pages89-91
Ўзбек

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.

English

To enhance the efficiency of freight transportation services on railways, there is a growing need to automate and optimize documentation circulation processes. This study investigates the possibilities of optimizing data flow by utilizing artificial intelligence and data analysis methods.

№ Author name position Name of organisation
1 Tukhtakhodjaev A.B. Head of the Department Тashkent State Transport University
№ Name of reference
1 Abdullayev A. "Logistika tizimlarida ma'lumotlar oqimini boshqarish". Toshkent: Logistika nashriyoti, 2020.
2 Karimov B. "Sun'iy intellekt va uning transport sohasidagi qo'llanilishi". Transport va logistika jurnali, 2021, №3, 45-52-betlar.
3 Smith J. "Intelligent Approaches to Data Flow Optimization in Freight Transportation". International Journal of Logistics, 2019, Vol. 22, Issue 4, pp. 345-360.
4 Lee K., Park S. "Digital Transformation in Railway Freight Documentation". Journal of Transportation Technologies, 2020, Vol. 10, pp. 150-162.
5 O'zbekiston Respublikasi Transport vazirligi rasmiy sayti: www.mintrans.uz
6 Chen Y. "Application of Machine Learning in Logistics Data Management". Logistics Research, 2018, Vol. 11, Issue 2, pp. 89-101.
7 Ivanov D. "Big Data Analytics in Railway Freight Transportation". Procedia Computer Science, 2019, Vol. 159, pp. 1086-1095.
8 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.
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