IMPROVING THE EFFICIENCY OF PROCESSES IN DEALER AND SERVICE CENTRES THROUGH DIGITAL TWIN TECHNOLOGY

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.