Preventive identification of faulty parts

Identification of potentially failure-prone parts along the production and logistics process up to the customer.

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Identification of faulty supplier batches through a generic data model

Visualized tracking of conspicuous supplier batches in QlikSense

Challenge

An automotive manufacturer wants to trace the identification of vehicle failures back to logistics. The whereabouts of potentially failure-prone parts from defective supplier batches are currently untraceable and bear a risk. To ensure quality, the affected parts are to be identified in logistics and at the customer.

Solution

A generic data model enables the linking of data sources along the production process. Traceability of the defective parts back to the supplier and visualization of the process is enabled.

Result

With the QlikSense application, the location of parts in logistics and at the customer is possible. The generic data model enables the identification of different parts that have failed at the customer.

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