How to write SPC well in tire companies, and why should enterprises choose SPC for quality managemen

Statistical analysis was performed with SPC according to the problem points.

You can choose the mean-standard deviation control chart, that is, x-s, you can take a sample every half an hour, 5 per group, the size of the subgroup is 5, there are 16 samples in 8 hours a day, using minitab software, statistics--control chart--x-s can be used for statistical process control, of course, the sample and subgroup size can be selected according to the actual situation, and the sampling can be as fast as possible each time you take a sample.

You can take a look at this SPC application case about the food industry, I hope it can help you.

Statistical Process Control (SPC):

System Source Meter Process Control (SPC for short) is a process control tool with the help of mathematical statistical methods. It analyzes and evaluates the production process, finds the signs of systemic factors in time according to the feedback information, and takes measures to eliminate its influence, so that the process is maintained in a controlled state that is only affected by random factors, so as to achieve the purpose of quality control.

Meaning of Statistical Process Control (SPC):

For quality analysis and improvement, to determine whether the quality of the product is under control, statistical process control (SPC) is a fairly scientific method based on data analysis.

Control limits are determined by process capabilities, similarly, tolerances are determined by the customer's needs.

The data that falls within the control limits indicates that every step of the operation is carried out in the way envisioned. Most of any data fluctuations within the control limits are caused by so-called normal causes – natural fluctuations are considered part of the normal process. If the data falls outside the control limit, it is a special cause that appears in the production process as the main cause of fluctuations, and a change in the production process is needed to solve the problem and prevent the appearance of defective products.

SPC is the abbreviation of English Statistical Process Control, which is a process control tool with the help of mathematical statistical methods, which is generally translated as "statistical process control" in Chinese. The essential element of SPC quality control is the control chart. Control charts are statistical tools for controlling the product quality status in the production process and are the most important methods in quality control.

The evaluation of the control chart is: "Quality management begins with the control chart and ends with the control chart". Because it changes the post-inspection of product quality control to pre-prevention, it has opened up a broad prospect for ensuring product quality, reducing production costs and improving production efficiency, so it has been widely used in countries around the world.

The main uses of control charts are:

1) Analyze and judge the stability of the production process and statistically control the state (2) Timely find abnormal phenomena and slow changes in the production process to prevent the occurrence of nonconforming products (3) Find out the actual accuracy of production equipment and process equipment in order to make correct technical decisions (4) Provide a basis for evaluating product quality.

It is mainly used in industrial enterprises and processing industry production enterprises.

The SPC system has no industry restrictions and can be applied in any field.

With the increasingly fierce market competition, enterprises put forward a higher level of concise requirements for the quality of products, in the process of product production, the processing size and other specifications of the product will fluctuate due to some reasons, and this fluctuation has a lot of impact on the quality of the product, but it is completely possible to take measures to avoid and eliminate the impact of this fluctuation, this measure is process control, the purpose of process control is to eliminate, avoid abnormal fluctuations, so that the process is in a normal fluctuation state. At present, many large companies in the world not only use SPC, but also require the best business to use SPC to control quality, SPC has become an indispensable tool and quality assurance means for enterprise quality management, and it is also an important part of the use of high and new technology to transform traditional enterprises.

The SPC emphasizes whole-process monitoring, whole-system participation, and the use of scientific methods (mainly statistical techniques) to ensure whole-process prevention. SPC is not only suitable for quality control, but also can be applied to all management processes (e.g. product design, market analysis, etc.). It is this idea of full participation in quality management, and the implementation of SPC can help enterprises to really do it in quality control"beforehand"The prevention and control of the application of SPC for quality control can enable enterprises to obtain the following benefits:

a. Improve the product qualification rate, reduce the cost of production and improve the efficiency of the enterprise.

b. Reduce the cost of product after-sales service, including returns, replacements and repairs caused by quality reasons.

c. Real-time monitoring of the quality management process of the enterprise, a comprehensive grasp of the quality dynamics, and timely discovery of quality variations.

d. A variety of control charts provide quality variation analysis methods and quality management decision support, so that quality managers can find out the real reasons for quality variation, which is helpful for enterprises to continuously improve quality.

f. Enhance the level of modern management and information construction, and improve the corporate image.

LZ: Simply put, SPC is process statistical control, but not all processes must implement SPC, only for the implementation of SPC for key processes, so before the implementation of SPC, it is necessary to identify the process or process that has a greater impact on product quality, that is to say, after determining the project of product CTQ, X (key process variable) that has a significant impact on the output Y (characteristic results), then X needs to be controlled, and the process LCL, CL, UCL needs to be calculated. SPC is carried out under the premise of stable process.

For example, we need to go through the heat treatment process to produce a product, then we need to test the hardness of the product after heat treatment, then the "hardness" is the characteristic value (y) we need, and there are 2 key variables x that affect y, temperature and time, then we need to conduct process statistics on these two key x, of course, if we can do a doe or two-factor ANOVA before this, identify the significant factors, so as to select the process parameters that must be managed best.

SPC "statistical process control", as the name suggests, is to pass a suitable production cycle, do statistics of its quality data as early as possible to analyze, look at the variation in the production process, and prevent it in the appropriate "man, machine, material, method, environment, and measurement".

and Lou Minlu and Li were in the same problem. First of all, select the bridge delay parameters of the key process for statistics, then make an XBAR-R diagram, and finally make a cpk. I'm struggling with the xbar-r diagram. Having said that, it will be helpful to look at TQM a lot.

SPC (Statistical Process Control) translated into Chinese means Statistical Process Control.

The five quality tools of the TS 16949 quality system are:

1. APQP&CP: In-product quality advance planning and capacity control plan.

2. FMEA: Potential Failure Mode and Consequences Analysis, which is mainly divided into two types: Design (Product) Potential Failure Mode and Consequences Analysis - DFMEA, and Process Potential Failure Mode and Consequences Analysis - PFMEA.

3. PPAP: Approval Procedure for Production Parts.

4. SPC: statistical process control.

5. MSA: Measurement System Analysis.