Industry
When defects are first detected during final inspection, the search often begins several stations back. Manufacturing Insights links inspection results, process parameters, and product history so that production experts can narrow down deviations by product, station, and time period.
In automotive environments, individual process parameters are often critical. This makes it all the more important to have solutions that do more than simply visualize data; they must also enable the traceability of individual process steps all the way down to the process parameters.
Quality deviations often only become apparent in downstream inspections or through increased reworking instead of directly at the process step that caused them.
Tool conditions, workpiece carriers, screwdrivers, leak tests, and process parameters change gradually. Deviations are often not detected until it is too late.
Threshold values, test results, and real-time measurements must be available in a reproducible format for customers, audits, or complaints.
In complex assembly and testing lines, it takes a lot of time to assign quality losses to the right station, the right carrier or a specific product variant.
Practical relevance
Narrow down the affected variant and time period. Compare the recorded process and inspection values, and track any parts that stand out throughout the assembly line. This allows you to immediately identify which stations or workpiece carriers are experiencing a high number of deviations.
In an automotive gear drive assembly customer project, the number of parts requiring rework was reduced by more than 80 percent.
These areas are particularly important in automated assembly and testing lines.
Function blocks for automotive contexts
Manufacturing Insights extends the IoT Data Hub with ready-made production, process, and part analyses. We map your machine, product, and test data to the required views; existing systems can be connected.
For parts histories, traceability and access to product-related process and quality data.
View product trackingFor example: Which variant or station shows recurring rework? Within a few days to weeks, we set up a line and implement the appropriate analysis use case. Scope and data availability determine the timeline.
We'll work with you to select a system and a specific loss scenario. We'll connect the initial data sources directly during the workshop.
We configure the IoT Data Hub and the relevant Manufacturing Insights modules. States, errors, and the required product or process data are mapped.
With customized views, you can identify production losses early on. We evaluate the benefits based on the agreed-upon goals.
30-minute product demo
In 30 minutes, we'll show you how to narrow down quality deviations by product and analyze them using process values and part histories. No preparation required.