First of all, why use SPC? What is the function of SPC? Pay attention to internal and external customers, and take customer satisfaction as the main goal. The value of these goals must be constantly improved. Using SPC can make us devote ourselves to more effective improvement. At the same time, everyone in our organization must ensure continuous improvement and use effective methods. \ x0d \ x0d \ Many of our enterprises do not attach importance to statistical process control. Or just regard statistical process control as a slogan, or pass various certification means, which are not really used in real production and have no real effect. So a problem appeared. If you carefully review all the statistical processes, you will find that there are many problems. \ x0d \ x0d \ 1。 When making XBar-R chart, the data collection is not accurate. Data collection comes from websites. Often we go to the site to check the data collection according to the requirements of the control plan or other documents, and we will find that the data collection on the site is not carried out as required. Some enterprises will adopt the methods of continuous measurement and 100% measurement without making any records. As long as the inspectors find that there is no problem, there is no need to make any changes. Once found, they will adjust the equipment parameters or take other measures. This method is the opposite of SPC. Some companies use 100% test, and then prepare control charts according to the general situation, which are specially used for auditing or submitting to customers. Such SPC is useless and wastes more manpower and material resources. Therefore, I hope that our enterprises that use statistical technology can really use statistical technology, not just make a show. \x0d\\x0d\2。 When making control charts, some or all curves are similar. This is also a possibility that the data has been edited. In SPC teaching materials, several curve shapes (including the movement trend of points) that should be paid attention to are clearly pointed out, which requires the people who draw charts to have a considerable level, that is, to avoid the situation described in the teaching materials and make the data basically reasonable, so there are statistics that use the same or similar data several times in a row. It is also a manifestation of data distortion. It's easy to tell the truth from the false. Compare several different control charts and see the data arrangement. If it is fake, you can look at Ni Duan. \x0d\\x0d\3。 The control chart rose by 9 points continuously, but there was no record of taking measures. In order to better record problems and control prevention, we should form a closed loop from cause analysis to solution to prevention. The same problem also includes similar points beyond the control limit. Without the accumulation of experience. \ x0d \ x0d \ 4。 The control limit is too long and has not been updated. From the point of view of continuous improvement, when our production control reaches a certain stage, the fluctuation of the curve can be controlled within a small range, and at the same time, the control limit needs to be reduced to achieve better monitoring. \x0d\\x0d\5。 The calculated CPK value is unreasonable. CPK value generally follows the following principles: CPK 1.67, and cost reduction should be considered. Generally speaking, the CPK value will be high, which is actually difficult to do. \ x0d \ \ x0d \ -。 \x0d\\x0d\ Taiyou SPC Online Forum!