Chương trình đào tạo
5 Sections
30 Lessons
Lifetime
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Module 1: Introduction to Principles of MSA
4
1.1
Determine the data necessary to implement an MSA study
1.2
Define the elements of an MSA plan
1.3
Identify and select the tools necessary for conducting various MSA studies
1.4
Use work-based projects and activities
Module 2: Using Minitab and Excel® for MSA
6
2.1
Basic statistical tests
2.2
Regression and ANOVA
2.3
Measurement systems analysis
2.4
Control charts
2.5
Capability analysis
2.6
Work-based applications
Module 3: Gage Repeatability & Reproducibility (Gage R & R)
6
3.1
Determine format for conducting a Gage R & R
3.2
Calculate the respective outcomes for Gage R & R
3.3
Interpret the results and draw conclusions
3.4
Make valid decisions based on the statistical results
3.5
Make valid decisions based on the statistical results
3.6
Use work-based applications
Module 4: ANOVA (Analysis of Variance)
5
4.1
Determine when ANOVA should be applied
4.2
Interpret the results of an ANOVA and draw conclusions
4.3
Determine F-critical values for One-Way and Two-Way nested designs
4.4
Make valid decisions based on results
4.5
Use work-based applications
Module 5: Attribute Gage R & R
9
5.1
Identify acceptance criteria
5.2
Select appropriate instruments
5.3
Develop test methods and criteria for passing or failing
5.4
Develop test methods for performing identified tests
5.5
Confirm that the GR&R is close to 100%
5.6
Define the necessary documentation
5.7
Create piloting techniques for running new tests and criteria for performing periodic GR&Rs
5.8
Create methods for launching new test methods and criteria
5.9
Use work-based applications
MSA – Đánh Giá Hệ Thống Đo Lường
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