General Motors uses AI for digital twins, battery leak detection, and weld/paint inspection in manufacturing

Overview

GM builds in-house AI solutions used across its manufacturing facilities: digital twins that simulate a running production line before it's constructed, AI/machine learning that quickly and accurately pinpoints potential leaks in battery packs, and a combination of robotics and a proprietary AI tool that inspects welds and paint coats to identify irregularities and anomalies.

The challenge

GM operates a robust, global manufacturing ecosystem including propulsion facilities, battery pack and vehicle assemblies, and casting facilities, and needed to enhance safety, improve quality, and enable efficiency across these manufacturing facilities in an intensely competitive landscape.

The solution

GM builds its AI solutions in-house, allowing the company to adapt swiftly and minimize downtime. This includes digital twins that simulate a running production line before construction, AI and machine learning that pinpoints potential leaks in battery packs, and a combination of robotics and a proprietary AI tool that inspects welds and paint coats for irregularities and anomalies. GM also uses AI and advanced software to help teams minimize ergonomic stressors and enable workplace safety.

Reported business value

Digital twins let GM optimize planning by simulating a running production line before it's constructed, allowing the company to scale faster while saving time and money and helping team members identify and solve problems more effectively. AI/machine learning-based battery leak detection allows for quick repairs and supports the safety and quality of GM's batteries. Robotics combined with a proprietary AI tool inspects welds and paint coats to identify irregularities and anomalies, continuously enhancing vehicle quality. AI-powered technology also helps improve safety and ergonomics for team members at GM's manufacturing facilities.