Every company involved in product manufacturing has to apply different quality control methods. This is necessary not only to provide a competitive product in the end but also to help your factory grow further. A wisely chosen method can significantly decrease production expenses and overall workforce costs. To achieve even a more sizeable result, one can apply an automated quality control system. It reduces a human factor to zero yet inspects more units with better precision.
Acceptance sampling
This method isn’t likely to be called a novelty, but automation in quality control has brought a new life to it. It’s all about a specially designed robot that inspects a few of the ready products. The machine also removes a defective item and stores the data on how often defects occur. It’s vitally important if the goal is to find out whether they have a systematic or random nature.
Here, at RIOS Company, we have a ready-made solution named LUMOS. This AI-powered robot provides end-to-end quality control and removes defective goods. All that comes in a compact form and doesn’t take too much time to install.
100% Verification
The mentioned method guarantees the results yet stays extremely expensive and time taking. At least, it was like this until automation quality control appeared. It’s now possible to inspect very valuable goods by spending fewer funds. Still, it can’t be applied to fragile products, as the machine can damage them while inspecting.
Taguchi Method
Unlike other methods described above, this one prevents defects from occurring. By using robotic quality control, it checks the whole production process. The final goal is to optimize product design and adapt a perfect formula. Implementing a quality control robot speeds up this process and makes it less expensive. Additionally, it becomes more precise, as a human factor disappears.
