We will support the promotion of your company's sample limit management!
I will comment on the nature of criteria samples (limit samples). Although we refer to them as limit samples, since they are subject to visual judgment, they do not represent strict limits. Generally, the contents that are referred to as good product samples and defective product samples also fall under the category of limit samples. Given the recent improvements in the precision of visual devices and the enhanced analysis and judgment capabilities of AI, it seems that reforms regarding the setting of limit samples are being undertaken. However, even when advancing these reforms, I believe that the experiential knowledge related to traditional limit sample settings will be very useful for the technical basis of the data and information used to establish AI judgment criteria. Support and guidance regarding the nature of limit samples (including good product samples and defective product samples), the approach to their setting, and the considerations for establishing new judgment criteria through AI will be the focus of production technology consulting.
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basic information
The purpose of setting limit samples (including good product samples and defective product samples) has several aspects, but three representative ones are as follows: 1. To evaluate the quality of products or semi-finished goods where quantitative inspection is difficult and qualitative judgment must be relied upon (for example, items such as soldering gloss, pinholes, fillet shapes, etc.; it is generally difficult to create all samples, so representative sampling is done with qualitative descriptions). 2. To evaluate the quality of products or semi-finished goods that can be judged quantitatively but require significant labor, advanced technology (which incurs costs), and thus are subject to visual inspection of all items (for example, confirming the amount of adhesive or sealant applied, or the quantity of amorphous materials). 3. To set samples from flowing products for phenomena where it is difficult to establish criteria for good or bad judgment, such as scratches, dents, or chips, but where there is a need to impose some restrictions on occurrences that are actually happening (setting samples by confirming the size and quantity of scratches, dents, or chips).
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We provide support based on the principle of finding the optimal approach and system for the company, drawing on our extensive experience in limit sample management in large corporations and small to medium-sized enterprises.
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For manufacturing companies, the preparation of tools for production (jigs, molds, manufacturing equipment), the construction of line configuration and layout, and the creation of PFMEA and QC process charts to maintain product quality are fundamental to manufacturing and hold an important position. In this business, we focus on consulting in production technology, directly linked to the production site, particularly targeting small and medium-sized manufacturing companies, and we aim to support the growth of these enterprises. We will adjust the consulting targets based on the confirmation of customer needs.