Predictive Model of the Organization of Car Maintenance and Repair Wagons using the Smoothing Algorithm the Extrapolation Method

Guzal Bubnova

2022

Abstract

When developing a predictive organizational model for the maintenance and repair of railcars at large marshalling yards, we take into account the multi-factor composition of variable values, many of which should be within the required values without disrupting the order and activity of the transportation process. In such cases, additional justification is required for the technical decisions taken to ensure normal and safe operating conditions. The article provides a methodology for substantiating technical solutions for improving the organization of car maintenance by determining forecast values for a given time interval. The list of measures to improve the system within the framework of the selected factor is considered: installation of floor-standing equipment in the form of an additional service channel for monitoring the sub-car space, installation of SPIDER-type diagnostic equipment to provide an assessment of the technical condition of the car according to external parameters. The effectiveness of implemented measures was evaluated.

Paper Citation

in Harvard Style

Bubnova G. (2022). Predictive Model of the Organization of Car Maintenance and Repair Wagons using the Smoothing Algorithm the Extrapolation Method. In Proceedings of the 1st International Scientific and Practical Conference on Transport: Logistics, Construction, Maintenance, Management - Volume 1: TLC2M; ISBN 978-989-758-606-4, SciTePress, pages 324-330. DOI: 10.5220/0011584700003527

in Bibtex Style

@conference{tlc2m22,
author={Guzal Bubnova},
title={Predictive Model of the Organization of Car Maintenance and Repair Wagons using the Smoothing Algorithm the Extrapolation Method},
booktitle={Proceedings of the 1st International Scientific and Practical Conference on Transport: Logistics, Construction, Maintenance, Management - Volume 1: TLC2M},
year={2022},
pages={324-330},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011584700003527},
isbn={978-989-758-606-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Scientific and Practical Conference on Transport: Logistics, Construction, Maintenance, Management - Volume 1: TLC2M
TI - Predictive Model of the Organization of Car Maintenance and Repair Wagons using the Smoothing Algorithm the Extrapolation Method
SN - 978-989-758-606-4
AU - Bubnova G.
PY - 2022
SP - 324
EP - 330
DO - 10.5220/0011584700003527
PB - SciTePress