Undergraduate Quality Assurance and Process Improvement Slides

Here is a complete set of slides made for an undergraduate course on Quality Assurance and Process Improvement.

1. Quality, Statistics, and Quality Culture–Module 1
2. Process Identification and Analysis–Module 2
3. Measures of Performance and Metrology Basics–Module 3
4. Modeling Measurement–Module 4
5. Measurement and One Sample Inferences Part 1–Module 5
6. Measurement and One Sample Inferences Part 2–Module 6
7. Measurement and Two Sample Inferences Part 1–Module 7
8. Measurement and Two Sample Inferences Part 2–Module 8
9. A Simple Method for Separating Components of Variation in Measurements–Module 9
10. One Way Random Effects Modeling and Measurement–Module 10
11. Inference for One Way Random Effects Models–Module 11
12. Standard Gauge R&R Data and Descriptive Statistics–Module 12
13. The Two Way Random Effects Model and Gauge R&R–Module 13
14. Range-Based Gauge R&R Inference–Module 14
15. Two Way ANOVA Calculations–Module 15
16. ANOVA-Based Gauge R&R Inference–Module 16
17. Gauge Capability Ratios–Module 17
18. Calibration Studies and Inference Based on Simple Linear Regression–Module 18
19. R&R for 0/1 (Go/No-Go) Contexts Part 1 (Modeling)–Module 19
20. R&R for 0/1 (Go/No) Inspection Part 2 (Point Estimates)–Module 20
21. R&R for 0/1 (Go/No) Inspection Part 3 (Application of Elementary Confidence Limits)–Module 21
22. Simple Principles of Process and Engineering Data Collection–Module 22
23. Simple Statistical Graphics for Quality Assurance–Module 23
24. Introduction to Shewhart Control Charting Part 1–Module 24
25. Introduction to Shewhart Control Charting Part 2–Module 25
26. Shewhart Control Charts for Measurements (Variables Data) Part 1–Module 26
27. Shewhart Control Charts for Measurements (Variables Data) Part 2–Module 27
28. EFC and SPM: One Thing Control Charting is Not–Module 28
29. Control Charts for Counts (Attributes Data) Part 1–Module 29
30. Control Charts for Counts (Attributes Data) Part 2–Module 30
31. Patterns on Control Charts Part 1–Module 31
32. Patterns on Control Charts Part 2 and Special Checks/Extra Alarm Rules–Module 32
33. The Average Run Length Concept Part 1–Module 33
34. The Average Run Length Concept Part 2–Module 34
35. What if the Sample Size is 1?–Module 35
36. Process Capability Analysis Part 1 (Normal Plotting)–Module 36
37. Process Capability Analysis Part 2 (Capability Indices)–Module 37
38. Process Capability Analysis Part 3 (Prediction and Tolerance Intervals)–Module 38
39. “Statistical” (Probabilistic) Tolerancing Part 1 (Ideas)–Module 39
40. “Statistical” (Probabilistic) Tolerancing Part 2 (Examples)–Module 40
41. Design and Analysis of Experiments Part 1 (Basics and the One-Way Model)–Module 41
42. Design and Analysis of Experiments Part 2 (One-Way Analyses)–Module 42
43. Design and Analysis of Experiments Part 3 (Two-Way Factorial Studies)–Module 43
44. Design and Analysis of Experiments Part 4 (Fitted Two-Way Factorial Effects)–Module 44
45. Design and Analysis of Experiments Part 5 (Confidence Intervals for Two-Way Analyses)-Module 45
46. Design and Analysis of Experiments Part 6 (p-Way Studies With 2-Level Factors)–Module 46
47. Design and Analysis of Experiments Part 7 (p-Way Fitted Factorial Effects)–Module 47
48. Design and Analysis of Experiments Part 8 (The Yates Algorithm and Prediction for p-Way Studies)–Module 48
49. Design and Analysis of Experiments Part 9 (Inference for p-Way Factorial Studies)–Module 49
50. Design and Analysis of Experiments Part 10 (Fractional Factorial Studies With 2-Level Factors)–Module 50
51. Design and Analysis of Experiments Part 11 (Choice and Aliasing Structure for a Half Fraction)–Module 51
52. Design and Analysis of Experiments Part 12 (Data Analysis for a Half Fraction)–Module 52
53. Design and Analysis of Experiments Part 13 (Choice and Aliasing for Smaller-Than-Half Fraction Studies)–Module 53
54. Design and Analysis of Experiments Part 14 (Data Analysis for Smaller-Than-Half Fractions)–Module 54
55. Design and Analysis of Experiments Part 15 (Some Perspective and a Very-Small-Fraction Example)–Module 55

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