- Contents
- Learn about JMP
- Introduction to Quality and Process Methods
- Control Chart Builder
- Create Control Charts Interactively
- Overview of the Control Chart Builder
- Example of the Control Chart Builder
- Control Chart Types
- Launch the Control Chart Builder
- The Control Chart Builder Window
- Control Chart Builder Options
- Retrieving Limits from a Data Table
- Excluded and Hidden Samples
- Additional Examples of the Control Chart Builder
- Statistical Details for the Control Chart Builder Platform
- Control Limits for X- and R-charts
- Control Limits for X- and S-charts
- Control Limits for Individual Measurement and Moving Range Charts
- Control Limits for p- and np-charts
- Control Limits for u-charts
- Control Limits for c-charts
- Levey-Jennings Charts
- Control Limits for g-charts
- Control Limits for t-charts
- Shewhart Control Charts
- Create Variable and Attribute Control Charts
- Overview of the Control Chart Platform
- Example of the Control Chart Platform
- Shewhart Control Chart Types
- Launch the Control Chart Platform
- The Control Chart Report
- Control Chart Platform Options
- Saving and Retrieving Limits
- Excluded, Hidden, and Deleted Samples
- Additional Examples of the Control Chart Platform
- Run Chart Example
- X Bar- and R-charts Example
- X-Bar- and S-charts with Varying Subgroup Sizes Example
- Individual Measurement and Moving Range Charts Example
- p-chart Example
- np-chart Example
- c-chart Example
- u-chart Example
- UWMA Chart Example
- EWMA Chart Example
- Presummarize Chart Example
- Phase Example
- Statistical Details for the Control Chart Platform
- Cumulative Sum Control Charts
- Multivariate Control Charts
- Monitor Multiple Process Characteristics Simultaneously
- Multivariate Control Chart Overview
- Example of a Multivariate Control Chart
- Launch the Multivariate Control Chart Platform
- The Multivariate Control Chart
- Multivariate Control Chart Platform Options
- Additional Examples of Multivariate Control Charts
- Statistical Details for Multivariate Control Charts
- Measurement Systems Analysis
- Evaluate a Continuous Measurement Process Using the EMP Method
- Overview of Measurement Systems Analysis
- Example of Measurement Systems Analysis
- Launch the Measurement Systems Analysis Platform
- Measurement Systems Analysis Platform Options
- Additional Example of Measurement Systems Analysis
- Statistical Details for Measurement Systems Analysis
- Variability Gauge Charts
- Evaluate a Continuous Measurement Process Using Gauge R&R
- Overview of Variability Charts
- Example of a Variability Chart
- Launch the Variability/Attribute Gauge Chart Platform
- The Variability Gauge Chart
- Variability Gauge Platform Options
- Additional Examples of Variability Charts
- Statistical Details for Variability Charts
- Attribute Gauge Charts
- Evaluate a Categorical Measurement Process Using Agreement Measures
- Attribute Gauge Charts Overview
- Example of an Attribute Gauge Chart
- Launch the Variability/Attribute Gauge Chart Platform
- The Attribute Gauge Chart and Reports
- Attribute Gauge Platform Options
- Statistical Details for Attribute Gauge Charts
- Process Capability
- Measure the Variability of a Process over Time
- Process Capability Platform Overview
- Example of the Process Capability Platform with Normal Variables
- Example of the Process Capability Platform with Nonnormal Variables
- Launch the Process Capability Platform
- Entering Specification Limits
- The Process Capability Report
- Process Capability Platform Options
- Additional Examples of the Process Capability Platform
- Statistical Details for the Process Capability Platform
- Capability Analysis
- Pareto Plots
- Cause-and-Effect Diagrams
- References
- Index
Chapter 12
Pareto Plots
Focus Improvement Efforts on the Vital Few
Improve the statistical quality of your process or operation using Pareto plots. A Pareto plot is a chart that shows severity (frequency) of problems in a quality-related process or operation. Pareto plots help you decide which problems to solve first by highlighting the frequency and severity of problems.
Figure 12.1 Pareto Plot Examples
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