Improving the Branded Service of Vehicles with Intelligent Driver Assistance Systems

Abstract

© Springer Nature Switzerland AG 2020. In the modern world, the efficiency of complex productions is possible only under the conditions of logistic, production and service systems interaction. Herewith, online data exchange between these systems is necessary in order to plan and organize all internal processes taking into account their interaction, integration and complexity. Online data on the vehicles’ state should be the basis for predicting the need for spare parts, planning their production at the manufacturer, delivery to service centers, as well as scheduling the loading of service stations. In addition, the accuracy of diagnostics and the timeliness of identifying potential failures play an important role. The existing failure prediction systems and methods are considered in the article. A systematic approach is needed to organize effective information interaction between the logistic, production and service systems. Creating an integrated information space with a common database will allow timely responding to non-standard situations and more accurately planning maintenance. The authors have proposed an improved algorithm for the Dealer and Service Center (DSC) operation which will minimize vehicles’ downtime while waiting for repairs and will help to predict the need for spare parts and production facilities of the DSC.