Statistical model for determining the quality of cargo work JSC “Uzbekistan Railways”

The object of the study is the joint-stock company “Uzbekistan railways”, engaged in the transportation of goods and passengers. The article uses statistical data that determine the quality of cargo work of “Uzbekistan railways” JSC as primary digital data. Based on the results of the study, a mathe...

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Main Authors: Sultanova S. M., Babakhanova N. U.
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/39/e3sconf_transsiberia2023_06016.pdf
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author Sultanova S. M.
Babakhanova N. U.
author_facet Sultanova S. M.
Babakhanova N. U.
author_sort Sultanova S. M.
collection DOAJ
description The object of the study is the joint-stock company “Uzbekistan railways”, engaged in the transportation of goods and passengers. The article uses statistical data that determine the quality of cargo work of “Uzbekistan railways” JSC as primary digital data. Based on the results of the study, a mathematical model of the dynamics of operational indicators is constructed. The article proposes and justifies statistical methods of data processing of the transportation process. The statistical model is based on the most significant indicators of operating expenses of cargo transportation of JSC “Uzbekistan railways”. Significant statistical indicators are cargo turnover; operating fleet of locomotives in freight traffic, locomotive performance; locomotive capacity; local speed; average weight of a freight train; locomotive downtime under loading, unloading; downtime at a technical station; loading volume. The model will significantly improve the quality of management decisions made by the management of the relevant structures.
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spelling doaj.art-03482b4e4d954311a84fd17756aeb6aa2023-07-21T09:41:13ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014020601610.1051/e3sconf/202340206016e3sconf_transsiberia2023_06016Statistical model for determining the quality of cargo work JSC “Uzbekistan Railways”Sultanova S. M.0Babakhanova N. U.1Tashkent State Transport UniversityTashkent State Transport UniversityThe object of the study is the joint-stock company “Uzbekistan railways”, engaged in the transportation of goods and passengers. The article uses statistical data that determine the quality of cargo work of “Uzbekistan railways” JSC as primary digital data. Based on the results of the study, a mathematical model of the dynamics of operational indicators is constructed. The article proposes and justifies statistical methods of data processing of the transportation process. The statistical model is based on the most significant indicators of operating expenses of cargo transportation of JSC “Uzbekistan railways”. Significant statistical indicators are cargo turnover; operating fleet of locomotives in freight traffic, locomotive performance; locomotive capacity; local speed; average weight of a freight train; locomotive downtime under loading, unloading; downtime at a technical station; loading volume. The model will significantly improve the quality of management decisions made by the management of the relevant structures.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/39/e3sconf_transsiberia2023_06016.pdf
spellingShingle Sultanova S. M.
Babakhanova N. U.
Statistical model for determining the quality of cargo work JSC “Uzbekistan Railways”
E3S Web of Conferences
title Statistical model for determining the quality of cargo work JSC “Uzbekistan Railways”
title_full Statistical model for determining the quality of cargo work JSC “Uzbekistan Railways”
title_fullStr Statistical model for determining the quality of cargo work JSC “Uzbekistan Railways”
title_full_unstemmed Statistical model for determining the quality of cargo work JSC “Uzbekistan Railways”
title_short Statistical model for determining the quality of cargo work JSC “Uzbekistan Railways”
title_sort statistical model for determining the quality of cargo work jsc uzbekistan railways
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/39/e3sconf_transsiberia2023_06016.pdf
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