Improving the quality of assembly of high-precision parts using individual part selection

Automation of control operations is one of the key and most complex aspects of automation of technological processes. In particular, active control, which is focused on maintaining the required quality of products in terms of their dimensions and other characteristics directly during their production, is the most promising area. It contributes to the automation of high-precision technological processes, reduces the number of defects, and reduces the cost of control procedures. In modern production, in the context of process control using active control tools, it is possible to increase the accuracy of part processing by optimizing control algorithms and making appropriate adjustments. In today’s environment, mathematical and statistical analysis methods are a critical tool for quality management in the industrial sector. With high demands on product accuracy, continuous monitoring is essential to regulate the manufacturing process and prevent defects. Traditional mathematical and statistical sampling methods are commonly used in acceptance testing to verify product compliance with technical requirements. Consequently, they indirectly impact the manufacturing process by identifying defects after the production of products.
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