How to determine the optimal process control points

This is usually included in the process package design, right? Additionally, it can be adjusted based on experience.

Determining the optimal process control points is a complex issue that requires taking multiple factors into consideration. Here are some common methods and tools that can help you make a choice or reach a decision: 1. Process analysis: Conduct a detailed analysis of the production process to identify the key steps and stages, from which control points can be selected. Various process analysis tools can be used, such as flowcharts and program evaluation diagrams. 2. Statistical analysis: Statistical methods are used to analyze production data in order to determine which variables have a significant impact on product quality, thereby identifying the corresponding control points. Common statistical methods include hypothesis testing, regression analysis, etc. 3. Professional knowledge and experience: Rely on the experience and knowledge of relevant professionals, combined with an understanding of products and processes, to identify key control points. This requires close cooperation with operators, engineers, and quality control personnel, as well as discussions and the sharing of experience. 4. Monitoring of equipment and process parameters: Based on faults and changes in equipment and process parameters, identify the key parameters that require monitoring and control, and use them as control points. Real-time monitoring devices or automatic control systems can be used. 5. Professional books and guides: There are several books and guides that provide guidance on the selection and determination of control points in production processes, such as \"Process Control\" and \"Handbook for Process Control Engineers\". You can refer to these books to learn some general methods and experiences. The most important thing is to gain a thorough understanding of one’s own production processes and product characteristics, and to use the methods mentioned above for comprehensive analysis and decision-making. Since each industry and production process has its own uniqueness, adjustments and optimizations may be necessary depending on the specific circumstances. .

This is usually included in the process package design, right? Additionally, it can be adjusted based on experience.

Now we are facing such a problem: for example, in the production of a fan, the manufacturing process focuses only on the product’s specifications, without paying attention to the variables that are directly related to those specifications. As a result, the process pays attention to the bearing temperature of the fan rather than its airflow volume; it does not truly focus on the process-related indicators for quality control, but rather on the outcome-based indicators, which is quite strange.

If the bearing temperature is too high or the vibration levels exceed the limits, simply pass the issue on to the equipment specialists, stating that there is a problem with the equipment； However, on-site analysis indicated that the cause was a decrease in air volume due to process operations, which led the fan to enter the surge zone and caused abnormal bearing monitoring. There are no constraints on the process control for air volume monitoring.

From a quality control perspective, a Process Failure Mode Analysis (PFMEA) is conducted first, and a Control Plan is developed based on that PFMEA. The issue lies in an error in the PFMEA analysis – the key factors were not properly identified

I also think there are errors in the analysis of the PFMEA section, but unfortunately no one around will listen