Condition-based maintenance of engine components in the automotive sector
Determination of the prognosis potential for engine components in the context of predictive maintenance
Statistical modelling with vehicle history data
Random Survival Forest as a modelling tool
Proof of the prognosis potential for a motor component
The aftersales division of an automotive manufacturer is evaluating an expansion of its maintenance offering to include preventive, data-driven offerings.
In order to be able to select suitable components for a pilot programme, a Assessment of the forecasting potential The data is needed for failure and swap behaviour with existing data.
Based on the information available from the vehicle history in the Aftersales Data Warehouse the failure and replacement behaviour of two central engine components is investigated with the help of survival and classification models.
The Forecast potential can be demonstrated for one of the components investigated.
For the second component, the available data do not allow for a forecast at this point in time.
Are you interested in your own use cases?
An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.
There will be a interactive and Flexible application, including of different maps with two different views implemented.
Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.
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