Curriculum Map
Course: Quality Control
Description
This curriculum map provides a mapping of content from Juran's Quality Handbook, The Six Sigma Handbook and Statistical Process Control Demystified to standard Quality Control course topics. The author carefully selected relevant examples, videos, tables and figures which he felt would be valuable supplements to any standard Quality Control textbook. You can easily incorporate the content into your course by using our copy link functionality to paste a direct link into your school's LMS.
Author
Craig G. Downing, Ph.D., CMfgE, Department Head and Associate Professor of Engineering Management, Rose-Hulman Institute of Technology
Course Topics
- Control Charts
- Process Capability
- Statistical Tools
- Designed Experiments
- Measurement Systems Analysis
Control Charts
| Relevant Material | Type | Description | Source |
|---|---|---|---|
| Table 18.1 Variation Categorization | Table | Distinctions between random and assignable causes of variation |
Juran's Quality Handbook |
| Figure 2.6 Control Chart Selection | Figure | SPC selection diagram |
Statistical Process Control Demystified |
| Figure 18.24 X-bar/R Chart Example | Figure | Example of variable control charting |
Juran's Quality Handbook |
| Chapter 5: Charts | Text | Explains the construction, use and interpretation of x-bar, range and sigma charts | Statistical Process Control Demystified |
| Table 5.1 X-bar/S Chart Data | Table | Table with example data from a manufacturing process | Statistical Process Control Demystified |
| Figure 5.2 X-bar/S Chart Example | Figure | Example x-bar/sigma chart based on Table 5.1 data |
Statistical Process Control Demystified |
| Chapter 5 Quiz | Quiz | Multiple choice questions on control charts | Statistical Process Control Demystified |
| Chapter 4: Attribute Control Charts | Text | Descriptions and examples of attribute control charts |
Statistical Process Control Demystified |
| Table 4.1 Attribute Data | Table | Example of order processing attribute data |
Statistical Process Control Demystified |
| Figure 4.1 P Chart |
Figure | Example p chart of percent of orders with errors from data in Table 4.1 |
Statistical Process Control Demystified |
| Figure 4.2 Np Chart | Figure | Example Np chart of number of orders with errors in 100-order sample from data in Table 4.1 |
Statistical Process Control Demystified |
| Figure 4.3 U Chart | Figure | Example u chart of errors per order from data in Table 4.1 |
Statistical Process Control Demystified |
| Figure 4.4 C Chart | Figure | Example c chart of errors per order in the 100-order sample from data in Table 4.1 |
Statistical Process Control Demystified |
| Still Struggling? | Text | To determine which chart to use consider the type of data being collected |
Statistical Process Control Demystified |
| Chapter 4 Quiz | Quiz | Multiple choice questions on attribute control charts | Statistical Process Control Demystified |
| Chapter 8: Process Behavior Charts | Text | Explanation of using control charts within statistical process control (SPC) | The Six Sigma Handbook |
| Construction and Interpretation of X-Bar Control Charts | Video | Discusses basic construction and interpretation of the X-bar control chart |
The Six Sigma Handbook |
| XBar Control Chart Calculations | Video | Reviews calculations used to construct X-bar/Range and X-bar/Sigma control charts |
The Six Sigma Handbook |
| Control Chart Interpretation: Historical Data | Video | Demonstrates use of the x-bar control chart for a retrospective analysis of historical data |
The Six Sigma Handbook |
| Control Chart Interpretation: Multiple Stream Processes | Video | Discusses rational subgrouping and demonstrates the effect of an irrational subgroup obtained from multiple process streams on the x-bar control chart; also use of batch means chart as a remedy |
The Six Sigma Handbook |
| Control Chart Interpretation: Autocorrelation | Video | Discusses rational subgrouping and demonstrates the effect of an irrational subgroup due to process autocorrelation on the x-bar control chart; also use of batch means chart as a remedy |
The Six Sigma Handbook |
| Control Chart Interpretation: Data Resolution |
Video | Demonstrates the effect of insufficient data (i.e. measurement) resolution on the x-bar control chart |
The Six Sigma Handbook |
| Constructing X-Bar Control Chart in Minitab | Video | Demonstrates the construction of the x-bar control chart within Minitab |
The Six Sigma Handbook |
| Analyzing Individuals Data on Process Control Charts |
Video | Demonstrates analysis of individuals (n=1) data when process distribution is unknown; shows use of moving average and EWMA control charts to determine process stability prior to fitting a distribution for use on an individuals chart or in process capability |
The Six Sigma Handbook |
| Effect of Mutli-stream Processes on Attribute Control Charts | Video | Discusses rational subgrouping and demonstrates the effect of an irrational subgroup obtained from multiple process streams on the p chart |
The Six Sigma Handbook |
| Figure 23.2 Template for Use in Special Cause Analysis |
Figure | Example template that applies the Plan-Do-Study-Act (PDSA) cycle |
Juran's Quality Handbook |
| Figure 18.25 Special Out of Control patterns |
Figure | Eight tests for special causes applied to control charts using 3 sigma limits |
Juran's Quality Handbook |
Process Capability
| Relevant Material | Type | Description | Source |
|---|---|---|---|
| Section 19.11: Process Capability | Text | Explanation of process capability |
Juran's Quality Handbook |
| Figure 19.30 Cp Illustrations |
Figure | Four examples of process variability |
Juran's Quality Handbook |
| Chapter 3: Determining Suitability to Requirements |
Text | Explanation of process capability | Statistical Process Control Demystified |
| Table 3.1 Error Rate for Cpl, Cpu |
Table | Conversion between a given Cpk value and an error rate, expressed in percent |
Statistical Process Control Demystified |
| Figure 3-1 A & B Cp and Cpk Illustrations |
Figure | Distribution curves illustrating processes centered within specifications and processes not centered within specifications | Statistical Process Control Demystified |
| Chapter 3 Quiz |
Quiz | Multiple choice questions on process capability | Statistical Process Control Demystified |
| Process Capability in Minitab | Video | This video demonstrates the construction and intrerpretation of a Process Capability Analysis within Minitab, when a Normal Distribution may be assumed. |
The Six Sigma Handbook |
Statistical Tools
| Relevant Material | Type | Description | Source |
|---|---|---|---|
| Figure 18.8 Fishbone (Cause & Effect) Diagram |
Figure | Example of a cause-effect diagram | Juran's Quality Handbook |
| Figure 19.13 Hypothesis Test Selection | Figure | Roadmap to assist in deciding what hypothesis test(s) are appropriate |
Juran's Quality Handbook |
| Figure 2.4 Pareto Diagram | Figure | Pareto diagram of issue types for phone support example | Statistical Process Control Demystified |
| Section 7.4: Regression Analysis | Text | Explanation of regression analysis | Statistical Process Control Demystified |
| Table 7.1 Regression Data | Table | Order processing time data based on number of line items per order |
Statistical Process Control Demystified |
| Figure 7.5 Scatterplot Diagram | Figure | Scatter diagram of Table 7.1 data | Statistical Process Control Demystified |
| Chapter 7 Quiz | Quiz | Multiple choice questions on process improvement |
Statistical Process Control Demystified |
| Section 10.3: Regression and Correlation Analysis | Text | Explanation of regression and correlation analysis | The Six Sigma Handbook |
| Regression Analysis in Minitab |
Video | This video demonstrates the construction and interpretation of a regression analysis within Minitab. |
The Six Sigma Handbook |
| Scatter Diagrams in Minitab | Video | This video demonstrates the construction and interpretation of a scatter diagram within Minitab. The example is continued using stratification to investigate possible effects of an additional factor. |
The Six Sigma Handbook |
Designed Experiments
| Relevant Material | Type | Description | Source |
|---|---|---|---|
| Section 19.8.7: Design of Experiments | Text | Explanation of designed experiments, including a contrast with classical methods of experimentation | Juran's Quality Handbook |
| Table 19.11 Comparison of Classical and Modern Methods of Experimentation | Table | Juran's Quality Handbook | |
| Table 19.12 Classification/Application of Designs | Table | Lists types of applications for which different types of designs are appropriate | Juran's Quality Handbook |
| Section 7.7: Designed Experiments | Text |
Explanation of designed experiments | Statistical Process Control Demystified |
| Table 7.5 Factorial Design Data |
Table | Experimental design template with example data |
Statistical Process Control Demystified |
| Figure 7.8 Factorial Design Analysis | Figure | Initial analysis results of Table 7.5 experimental results | Statistical Process Control Demystified |
| Figure 7.9 Factorial Design Analysis - Cleaned Up | Figure | Resulting analysis of Table 7.5 data (after removing insignificant terms) |
Statistical Process Control Demystified |
| Chapter 7 Quiz | Quiz | Multiple choice questions on process improvement | Statistical Process Control Demystified |
| Section 10.4: Designed Experiments | Text | Explanation of the role of designed experiments in quality improvement | The Six Sigma Handbook |
| Design of Experiments in Minitab: Generating the Design | Video | This video demonstrates the construction and interpretation of a regression analysis within Minitab. |
The Six Sigma Handbook |
| Design of Experiments: Analysis of Data within Minitab | Video | This video demonstrates the construction and interpretation of a scatter diagram within Minitab. The example is continued using stratification to investigate possible effects of an additional factor. |
The Six Sigma Handbook |
| Analyzing a Designed Experiment in MS Excel-Part 1 | Video |
This video demonstrates the initial interpretation of a Screening Design data within MS Excel, using data generated by the IQF Lean Six Sigma Black Belt Certification Exam. |
The Six Sigma Handbook |
| Analyzing a Designed Experiment in MS Excel-Part 2 |
Video |
This video demonstrates the interpretation of the expanded Screening Design data (with interactions) within MS Excel, using data generated by the IQF Lean Six Sigma Black Belt Certification Exam. |
The Six Sigma Handbook |
