The Latest Quality Control Methods in Manufacturing

A large number of advantages of robotic quality control in comparison to human work every day makes more and more companies introduce an automated quality control system. Robots from companies such as not only do a good job, but they are also a profitable investment with many advantages. And if we consider that the development of technology is gaining momentum, it will not be long before we see full automation of production.

X-Histogram Method

This automation quality control approach involves analysis based on random sampling among products. The required attributes to be tested are provided into the system, and then the machine randomly selects the product and tests it for indicators of these attributes. This method is good for calculating the pattern of defects and their frequency, as it clearly shows whether they occur systematically or are random.

100% Verification

Such a quality control process requires a large investment of time and money because the system checks the entire product and all of its components. Usually, this method is used to evaluate rare and/or very valuable goods, otherwise, such costs are not justified. This method is also not suitable for fragile goods such as food. This is due to the fact that some inspection steps can simply damage the delicate structure and the product becomes unsaleable. But if used correctly, this method will give the best results, because a 100% check will only produce the highest quality product.


Taguchi Method

This sophisticated approach begins to work even before robot automation in quality control comes into play. This happens because the philosophy of the method is not so much to check goods for defects as to prevent them during the production process. This goal is achieved through research and development aimed at optimizing production design.

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