Optimizing the production & performance of EV power Subsub-systems
The electrification of cars is becoming more and more prevalent, introducing multiple new challenges to automobile manufacturing.
Electric vehicle powertrains and all of their constituent parts, such as the battery pack, motor, and power modules, must be high-performing yet inexpensive to produce in order to be affordable.
However, this is a difficult balance to achieve since powertrain sub-system manufacturing is extremely complex, and expensive to rework.
The key to finding the balance between ensuring quality while improving efficiency and reducing scrap is to utilize big data analytics and machine learning to detect and prevent problems before the powertrain is assembled.
Capture critical data
Reduce scrap rates
Create a single source of truth
Improve critical KPIs and optimize product costs
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