{"id":3394,"date":"2022-05-25T13:20:54","date_gmt":"2022-05-25T13:20:54","guid":{"rendered":"https:\/\/dev2.antsolutions.eu\/?p=3394"},"modified":"2026-03-09T10:09:35","modified_gmt":"2026-03-09T10:09:35","slug":"%e5%a6%82%e4%bd%95%e4%b8%ba%e7%a9%ba%e9%97%b4%e5%88%86%e8%be%a8%e7%8e%87%e6%8a%a5%e5%91%8a%e6%94%b6%e9%9b%86%e6%95%b0%e6%8d%ae-%e8%87%aa%e5%8a%a8%e5%92%8c%e6%89%8b%e5%8a%a8%e6%b5%8b%e9%87%8f","status":"publish","type":"post","link":"https:\/\/accevo.com\/zh\/blog\/how-to-gather-data-for-spc-report-automatic-and-manual-measurements\/","title":{"rendered":"\u5982\u4f55\u4e3aSPC\u62a5\u544a\u6536\u96c6\u6570\u636e - \u81ea\u52a8\u548c\u624b\u52a8\u6d4b\u91cf\uff1f"},"content":{"rendered":"
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\n\nSPC, or statistical process control, is one of the most interesting tools in the context of quality management. Nowadays, this method is widely used in the industrial sector. During this process,<\/strong> data is gathered for report preparation base on control cards. Meanwhile, by gathering and displaying measurements in real-time, we are able to decrease the reaction time for a process that is becoming unstable by using condition-based monitoring.<\/strong>\n\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n
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\n\nAbove all, the implementation of automated SPC enables you to better monitor process behaviour and faster discover issues in internal systems. How does it look like in practice?\n\nThe basic idea is a data gathering system. This data \u2013 which is intended to be used in the preparation of the report \u2013 is based on control charts. By gathering the data and displaying the measurements \u2013 which is done in real time \u2013 it is possible to reduce the response time for this process, which requires monitoring. It is not only a question of planning and defining quality, but also of manual data gathering and automatic data gathering from production measurements. What do you need to pay attention to in this process?\n\n \n

Manual gathering of data and possible challenges<\/strong><\/h2>\nIt is worth highlighting that the traditional formula of data collection is a far cry from the challenges of daily life, which of course are dominated by ubiquitous automation. This is a path where one has to reckon, above all, with the possible delay of the information obtained. Manual data gathering leads to a lack of automatic notifications, such as the status of a part, to the quality department. However, manual data gathering cannot be reduced to this disadvantage alone. Others include:\n