title: Ð¡Ð¾Ð²ÐµÑÑÐµÐ½ÑÑÐ²Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð»Ð¾Ð³Ð¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð¿ÑÐ¾ÑÐµÑÑÐ¾Ð² Ð¿ÑÐ¸ Ð¿Ð¾Ð¼Ð¾ÑÐ¸ ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Big Data (Ð½Ð° Ð¿ÑÐ¸Ð¼ÐµÑÐµ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸ ÐÐÐ Â«ÐÐÐ Ð Ð£Ð¡Â»)
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Improving logistics processes with the help of Big Data technology (on the example of DPD RUS LLC)
Creators: name: ÐÐ¾ÑÐµÑÐ¾Ð², ÐÐ»ÐµÐºÑÐ°Ð½Ð´Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: big data
Ð»Ð¾Ð³Ð¸ÑÑÐ¸ÐºÐ°
ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½Ð°Ñ Ð»Ð¾Ð³Ð¸ÑÑÐ¸ÐºÐ°
ÑÐµÑ Ð½Ð¸ÐºÐ¾-ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð·
Ð½Ð°Ð²Ð¸Ð³Ð°ÑÐ¸Ñ
logistics
transport logistics
technical and economic analysis
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description: Ð¦ÐµÐ»ÑÑ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ðµ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Big Data Ð² ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ñ Ð¸ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¾Ñ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¼ÐµÑÐ¾Ð¿ÑÐ¸ÑÑÐ¸Ñ. Ð Ð°Ð±Ð¾ÑÐ° Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð° Ð½Ð° Ð±Ð°Ð·Ðµ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸ ÐÐÐ Â«ÐÐÐ Ð Ð£Ð¡Â». ÐÑÐ½Ð¾Ð²Ð½ÑÐµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ ÑÐ°Ð±Ð¾ÑÑ: -Â­ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· Ð»Ð¾Ð³Ð¸ÑÑÐ¸ÑÐµÑÐºÐ¾Ð¹ Ð´ÐµÑÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸ ÐÐÐ Â«ÐÐÐ Ð Ð£Ð¡Â»; - Ð¿ÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð° ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ñ Big Data Ð¸ ÐµÐµ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð² ÑÐ°Ð·Ð½ÑÑ Ð¾ÑÑÐ°ÑÐ»ÑÑ, Ð° ÑÐ°ÐºÐ¶Ðµ Ð² ÑÑÐµÑÐµ Ð»Ð¾Ð³Ð¸ÑÑÐ¸ÐºÐ¸; - ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð¾ ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¾Ðµ Ð·Ð°Ð´Ð°Ð½Ð¸Ðµ, Ð¾Ð¿Ð¸ÑÑÐ²Ð°ÑÑÐµÐµ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ðµ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Big Data Ð¿Ð¾ÑÑÐ°Ð¿Ð½Ð¾; - Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ñ ÑÐµÑÑÑÑÑ Ð´Ð»Ñ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ñ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¸, Ð° ÑÐ°ÐºÐ¶Ðµ ÑÐ°ÑÑÑÐ¸ÑÐ°Ð½ Ð¿ÐµÑÐ²Ð¾Ð½Ð°ÑÐ°Ð»ÑÐ½ÑÐ¹ ÑÐ°Ð·Ð¼ÐµÑ Ð¸Ð½Ð²ÐµÑÑÐ¸ÑÐ¸Ð¹ ; Â­- ÑÐ¾Ð·Ð´Ð°Ð½Ñ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¸ Ð¿Ð¾ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ñ Big Data; Â­- Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð° Ð¾ÑÐµÐ½ÐºÐ° ÐºÐ¾Ð¼Ð¼ÐµÑÑÐµÑÐºÐ¾Ð¹ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ñ Ð¿ÑÐ¾ÐµÐºÑÐ°. ÐÐ±Ð»Ð°ÑÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² ÐÐÐ : ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ñ ÑÐ¸ÑÑÐµÐ¼Ñ, Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÑÑÐµÐ¹ ÑÐ¾Ð²ÐµÑÑÐµÐ½ÑÑÐ²Ð¾Ð²Ð°ÑÑ Ð»Ð¾Ð³Ð¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¿ÑÐ¾ÑÐµÑÑÑ, Ð¼Ð¾Ð³ÑÑ Ð±ÑÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ñ Ð»Ð¾Ð³Ð¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ð¼Ð¸ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸ÑÐ¼Ð¸ Ð¸Ð»Ð¸ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸ÑÐ¼Ð¸ Ñ Ð¾ÑÐ´ÐµÐ»Ð°Ð¼Ð¸ ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½Ð¾Ð¹ Ð»Ð¾Ð³Ð¸ÑÑÐ¸ÐºÐ¸. ÐÑÐ²Ð¾Ð´Ñ. ÐÑÐ»Ð¸ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ñ Ð¿Ð¾ÑÑÐ°Ð²Ð»ÐµÐ½Ð½ÑÐµ Ð·Ð°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ Ð·Ð°ÐºÐ»ÑÑÐ°Ð»Ð¸ÑÑ Ð² Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð´ÐµÑÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸, Ð²ÑÑÐ²Ð»ÐµÐ½Ð¸Ñ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼, Ð° Ð·Ð°ÑÐµÐ¼ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð²Ð½ÐµÐ´ÑÐ¸ÑÑ ÑÐµÑÐµÐ½Ð¸Ðµ Ð² Ð²Ð¸Ð´Ðµ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Big Data Ð¸ Ð·Ð°ÑÐµÐ¼ Ð¿ÑÐ¾Ð²ÐµÑÑÐ¸ Ð¾ÑÐµÐ½ÐºÑ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¼ÐµÑÐ¾Ð¿ÑÐ¸ÑÑÐ¸Ñ.
description: The aim of the graduate qualification work is the introduction of Big Data technology into the company and the determination of the effectiveness of the proposed event. The work has been carried out on the materials of DPD RUS LLC. The main results of the graduate qualification work: -Â­ an analysis of the logistics activities of DPD RUS LLC was carried out; -Â­ analyzed Big Data technology and its application in various industries, as well as in the field of logistics; -Â­ a terms of reference was developed that describes the implementation of Big Data technology in stages; -Â­ resources for the introduction of technology are determined, as well as the initial amount of investment is calculated; -Â­ recommendations for the implementation of Big Data have been created; -Â­ an assessment of the commercial effectiveness of the project implementation was carried out. The areas of the graduate qualification work results application: the results of implementing a system that allows improving logistics processes can be applied by logistics companies or companies with transport logistics departments. Conclusions. The tasks set were completed, which consisted in analyzing the companys activities, identifying problems, and then proposing to implement a solution in the form of Big Data technology and then evaluate the effectiveness of the proposed measure.