Since the release of ChatGPT in November, it seems almost all anyone wants to talk about is the future of AI for business and the world. The manufacturing industry is not immune to this. There are already several advancements being planned and implemented. Here are just some problems that AI can help to solve.
Process improvement is a big part of making your operation run more efficiently and cost-effectively. AI is a powerful tool that can be used to catch anomalies, identify bottlenecks, and automatically correct these problems in real time.
Preventing Equipment Failures
AI is very good at doing predictions based on data. One of the predictions it can help with is whether or not equipment will continue to run or will break (at a later date). Knowing this in advance can help you plan for maintenance before that equipment breaks down and help prevent downtime caused by the inoperational machine.
Component and Product Quality Control
Working with computer vision, which uses high-resolution cameras to observe different sections of the production process, AI can detect defects that humans might miss. It can even be set up to fix these problems automatically when they appear, which reduces waste.
AI can even pair with autonomous robots that self-correct during the manufacturing process to improve their efficiency. In addition, once they are programmed AI Robots don’t need breaks and can work well with other AI Robots on consecutive tasks.
These are just a few of the use cases for AI in manufacturing. As we continue to study and execute we’ll likely find even more uses for this new exciting technology.