Интеллектуальные подходы к управлению информацией в процессах транспортировки и перевозки грузов
Ключевые слова:
Перевозка грузов, документооборот, поток данных, оптимизация, интеллектуальные подходы, искусственный интеллект
Аннотация
Для повышения эффективности услуг по перевозке грузов на железных дорогах возникает необходимость в автоматизации и оптимизации процессов документооборота. Изучаются возможности оптимизации потока данных с использованием методов искусственного интеллекта и анализа данных.
Литература
[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.
[9] Anderson D. "Optimization Techniques in Logistics". Operations Research Journal, 2019, Vol. 16, Issue 2, pp. 100-115
[10] Turdiev O.A., Smagin V.A., Kustov V.N. Investigation Of The Computational Complexity Of The Formation Of Checksums For The Cyclic Redundancy Code Algorithm Depending On The Width Of The Generating Polynomial. В сборнике: CEUR Workshop Proceedings. Proceedings of the Workshop "Models and Methods for Researching Information Systems in Transport 2020" on the basis of the departments "Information and Computer Systems" and "Higher Mathematics". 2020. С. 129-135.
[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.
[9] Anderson D. "Optimization Techniques in Logistics". Operations Research Journal, 2019, Vol. 16, Issue 2, pp. 100-115
[10] Turdiev O.A., Smagin V.A., Kustov V.N. Investigation Of The Computational Complexity Of The Formation Of Checksums For The Cyclic Redundancy Code Algorithm Depending On The Width Of The Generating Polynomial. В сборнике: CEUR Workshop Proceedings. Proceedings of the Workshop "Models and Methods for Researching Information Systems in Transport 2020" on the basis of the departments "Information and Computer Systems" and "Higher Mathematics". 2020. С. 129-135.
Опубликован
2025-03-31
Как цитировать
Турдиев, О., Расулмухамедов, М., & Тухтаходжаев , А. (2025). Интеллектуальные подходы к управлению информацией в процессах транспортировки и перевозки грузов. Вестник транспорта - Transport Xabarnomasi, 2(1), 5-8. извлечено от https://jot.tstu.uz/index.php/jot-journal/article/view/26
Раздел
Организация транспортных процессов и логистика-Transport jarayonlarini tashkil
