ПОВЫШЕНИЕ ЭФФЕКТИВНОСТИ ПРОЦЕССОВ  В ДИЛЕРСКО-СЕРВИСНЫХ ЦЕНТРАХ С ПОМОЩЬЮ ТЕХНОЛОГИИ DIGITAL TWIN

Ksenia A Shubenkova; Timur A Nikolaev; Vladimir D Shepelev; Nikita A Tyurin

Authors

Ksenia A Shubenkova Kazan Federal University, Kazan
Timur A Nikolaev Kazan Federal University, Kazan
Vladimir D Shepelev South Ural State University, Chelyabinsk
Nikita A Tyurin South Ural State University, Chelyabinsk

Keywords:

digitalisation, Digital Twin, failure prediction, simulation.

Abstract

High competition among car manufacturers requires modifying business models and digitalising not only production processes, but also service processes. The use of modern digital and hardware means allows to monitor the technical condition of vehicle parts and systems, to collect, store and analyze vehicle failure statistics, data on vehicle operation conditions, mileage, as well as data on the performed maintenance and repair works. This will allow to plan the loading of service stations in advance, predict the need for spare parts, as well as notify owners of vehicles about the need to visit dealers and service centres. To achieve this, we suggest an Intelligent System of Failure Prediction and Planning of Vehicle Visits to the Dealer and Service Centres based on the Digital Twin technology.

Author Biographies

Ksenia A Shubenkova, Kazan Federal University, Kazan

senior lecturer, Transport Systems Service Department, Automobiles Division

Timur A Nikolaev, Kazan Federal University, Kazan

intramural Master’s student of Transport Systems Service Department

Vladimir D Shepelev, South Ural State University, Chelyabinsk

Candidate of Sciences (Engineering), Associate Professor at the Department of Automobile Transport

Nikita A Tyurin, South Ural State University, Chelyabinsk

postgraduate student the Department of Automobile Transport

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