INFORMATION TECHNOLOGIES FOR FORECASTING CAR DEPOT INVENTORY USING CORRELATION ANALYSIS

Authors

  • Nurmukhamedov Tolaniddin Ramziddinovich Doctor of Technical Sciences, Professor of the Department "Information Systems and Technologies in Transport", Tashkent State Transport University,
  • Shukurov Farrukh Doniyorovich Assistant of the Department "Information Systems and Technologies in Transport", Tashkent State Transport University,
  • Khakimov Shoyatbek Khalimjonovich Assistant of the Department "Information Systems and Technologies in Transport", Tashkent State Transport University

DOI:

https://doi.org/10.17605/OSF.IO/5HCTJ

Keywords:

car depo, analysis, correlation

Abstract

The analysis of the statistics of expenses of components and spare parts of mobile units of the car depot is carried out, the trend of changes in expenses is determined and the mathematical apparatus for forecasting the need for spare parts is selected, which provides the maximum accuracy of the forecast.Forecasting of changes in the parameters of various systems is performed using information about the factors that affect the predicted parameter, using regression models. A multivariate regression model is proposed that takes into account the factors that affect the consumption of spare parts and establishes the density of the relationship between the factors themselves.

Downloads

Published

2021-05-23

Issue

Section

Articles

How to Cite

INFORMATION TECHNOLOGIES FOR FORECASTING CAR DEPOT INVENTORY USING CORRELATION ANALYSIS. (2021). JournalNX - A Multidisciplinary Peer Reviewed Journal, 7(05), 202-207. https://doi.org/10.17605/OSF.IO/5HCTJ

Most read articles by the same author(s)