2. Identify key control points

3. Measurement and analysis of data changes, histogram

4. Dynamic change of data, control chart

4. 1, random fluctuation and abnormal fluctuation

4.2. Key points of ISO 8258:1991control chart.

4.3. Types and examples of conventional control charts The structure and concept of S control charts explain the types and uses of S control charts.

1) X mean and range diagram

(Mean-Range Control Chart, Mean-Standard Deviation Control Chart, Median-Range Control Chart, Single-Value-Moving Range Control Chart).

2) Examples of the structure and application flow of I and MR control charts.

3) Discrete U, C, P, NP control chart

An example of how to collect data, sample data, set up and maintain control boundaries for data collection.

4.4, some practical problems in the formulation and use of control chart.

4.5, modern control chart technology case

5. Process capability/performance analysis and application of corresponding indicators CPK and PPK.

6. Guarantee and improvement of process capability/performance-logical reasoning tools for finding reasons and taking corrective/preventive measures (s 5M 1E), factor hierarchy method S and pareto chart S, non-digital data method tools for causal relationship and logical relationship analysis: causal diagram, system diagram and "5Why analysis table", correlation diagram, fault tree analysis (FTA) and process decision-making program diagram (PDPC).

7. How to realize effective SPC field control? The performance of S-controlled standard S-flow is out of control. The out-of-control analysis of S- drill production control chart should be done in the S- out-of-control field. Visual display diagram of field "visual management" application in SPC implementation.

8. SPC effect evaluation method S significance test S statistical sampling test.

9. Regression analysis univariate linear regression analysis curve regression diallel correlation analysis

10, ANOVA The basic concept of S ANOVA and its application The application of S ANOVA in multiple comparisons of MSA (Measurement System Analysis): Q test.

1 1, experimental design, DOE)-introduce orthogonal experimental design.

12, SPC project development (application of SPC in QCC/QIT and 6Sigma project activities)