Quality Analytics Using Minitab

Course details

The Minitab statistics package can be a valuable tool in your analytics toolkit. In this course, professor and certified Lean Six Sigma Master Black Belt trainer Richard Chua uses instruction and hands-on challenges to show you how to make the most use of Minitab. Learn how to conduct Measurement System Analysis (also known as Gage R&R) to evaluate the validity of measurement systems. Go over how to use Attribute Agreement Analysis to ensure that appraisals and inspection results are valid, with no false positives, false negatives, or wrong categorization. Find out how to conduct a Process Capability study and use Statistical Process Control charts (SPC) to establish and monitor performance. Go over SPC charts for attributes and for variables, as well as acceptance sampling.

Concepts

0. Introduction

01 - Make quality analytics easier
02 - What you should know

1. Measurement System Analysis (MSA)

03 - Create a Gage R&R worksheet in Minitab
04 - Analyze a Gage R&R using Minitab
05 - Create an Attribute Agreement Analysis worksheet in Minitab
06 - Attribute Agreement Analysis using Minitab
07 - Challenge - Conduct MSA
08 - Solution - Conduct MSA

2. Statistical Process Control (SPC)

09 - SPC variable charts for individuals
10 - SPC variable charts for subgroups
11 - SPC attributes charts using Minitab
12 - Using SPC to contrast pre- and post-change
13 - Challenge - SPC challenge
14 - Solution - SPC challenge

3. Process Capability

15 - Normal process capability using Minitab
16 - Capability analysis between and within subgroups
17 - Non-normal process capability using Minitab
18 - Binomial process capability using Minitab
19 - Challenge - Process capability
20 - Solution - Process capability

4. Acceptance Sampling

21 - Acceptance sampling by attributes using Minitab
22 - Acceptance sampling by variables using Minitab
23 - Challenge - Acceptance sampling
24 - Solution - Acceptance sampling

5. Design of Experiments

25 - Design of experiments - Create screening design
26 - Design of experiments - Analyze screening design
27 - Design of experiments - Create a factorial design
28 - Design of experiments - Analyze factorial design
29 - Design of experiments - Curvature in factorial experiments
30 - Design of experiments - Create response surface design
31 - Design of experiments - Analyze response surface design
32 - Challenge - DOE
33 - Solution - DOE, part A
34 - Solution - DOE, part B

Conclusion

35 - Further resources for using Minitab