American automaker General Motors disclosed how it uses artificial intelligence to improve safety, enhance quality, and promote efficiency in its manufacturing facilities — highlighting its use of digital twins, machine learning, robotics, and its proprietary AI tool.
Production Line Preview
Executive Vice President of Global Manufacturing and Sustainability JP Clausen explained that digital twins help General Motors simulate a running production line before it is built, which optimizes the planning process, speeds up scaling, and reduces costs. He added that the tool allows the company’s team members to locate and address issues efficiently.
Combining AI and Machine Learning
By combining machine learning and artificial intelligence, General Motors can accurately and quickly detect battery pack leaks, enabling timely repairs and boosting battery safety. The company also uses robotics and the proprietary AI tool to inspect paint coats and welds and find anomalies and irregularities.
Not Trying to Automate Everything
General Motors stressed that it prefers to combine its workforce with advanced technology rather than fully automate its manufacturing process. This philosophy includes applying flexible manufacturing across its vehicle and battery pack assemblies, casting facilities, and propulsion sites.
The company expects to expand its electric vehicle lineup by 12 models by 2026.
Image credit: Steve Fecht/General Motors
