JMP 10 Quality and Reliability Methods

JMP 10 Quality and Reliability Methods

by SAS Institute
Released March 2012
Publisher(s): SAS Institute
ISBN: 9781612901992

Read it now on the O’Reilly learning platform with a 10-day free trial.

O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.

Start your free trial

Book description

JMP 10 Quality and Reliability Methods covers platforms used for quality control and reliability engineering. The book provides of an overview of statistical methods, and describes some JMP 10 report windows and options. Read about lifetime distribution, reliability and survival analysis, recurrence analysis, reliability forecasting, and measurement systems analysis. Learn how to model changes in product reliability with Crow-AMSAA models. Also included are instructions for creating control charts, variability charts, Ishikawa diagrams, Pareto plots, and more.

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Learn About JMP
    1. Book Conventions
    2. JMP Documentation
      1. JMP Documentation Suite
      2. JMP Help
      3. JMP Books by Users
      4. JMPer Cable
    3. Additional Resources for Learning JMP
      1. Tutorials
      2. The JMP Starter Window
      3. Sample Data Tables
      4. Learn about Statistical and JSL Terms
      5. Learn JMP Tips and Tricks
      6. Tooltips
      7. Access Resources on the Web
  6. Statistical Control Charts
    1. Statistical Quality Control with Control Charts
    2. The Control Chart Launch Dialog
      1. Process Information
      2. Chart Type Information
      3. Parameters
      4. Using Specified Statistics
    3. Tailoring the Horizontal Axis
    4. Display Options
      1. Single Chart Options
      2. Window Options
    5. Tests for Special Causes
      1. Nelson Rules
      2. Westgard Rules
    6. Running Alarm Scripts
    7. Saving and Retrieving Limits
    8. Real-Time Data Capture
      1. The Open Datafeed Command
      2. Commands for Data Feed
      3. Operation
      4. Setting Up a Script to Start a New Data Table
      5. Setting Up a Script in a Data Table
    9. Excluded, Hidden, and Deleted Samples
  7. Introduction to Control Charts
    1. What is a Control Chart?
    2. Parts of a Control Chart
    3. Control Charts in JMP
    4. Types and Availability on Chart Charts
  8. Interactive Control Charts
    1. Overview of Control Chart Builder
    2. Example Using Control Chart Builder
    3. Launch Control Chart Builder
    4. Control Chart Builder Options
    5. Additional Example of Control Chart Builder
  9. Shewhart Control Charts
    1. Shewhart Control Charts for Variables
      1. XBar-, R-, and S- Charts
      2. Run Charts
      3. Individual Measurement Charts
      4. Presummarize Charts
    2. Moving Average Charts
      1. Uniformly Weighted Moving Average (UWMA) Charts
      2. Exponentially Weighted Moving Average (EWMA) Charts
    3. Shewhart Control Charts for Attributes
      1. P- and NP-Charts
      2. U-Charts
      3. C-Charts
      4. Levey-Jennings Charts
    4. Phases
      1. Example
      2. JSL Phase Level Limits
  10. Cumulative Sum Control Charts
    1. Cumulative Sum (Cusum) Charts
      1. Launch Options for Cusum Charts
      2. Cusum Chart Options
    2. Formulas for CUSUM Charts
      1. Notation
      2. One-Sided CUSUM Charts
      3. Two-Sided Cusum Schemes
  11. Multivariate Control Charts
    1. Launch the Platform
    2. Control Chart Usage
      1. Phase 1—Obtaining Targets
      2. Phase 2—Monitoring the Process
      3. Monitoring a Grouped Process
    3. Change Point Detection
      1. Method
      2. Example
    4. Platform Options
    5. Statistical Details
      1. Ungrouped Data
      2. Grouped Data
      3. Additivity
      4. Change Point Detection
  12. Assess Measurement Systems
    1. Overview of Measurement Systems Analysis
    2. Example of Measurement Systems Analysis
    3. Launch the Measurement Systems Analysis Platform
    4. Measurement Systems Analysis Platform Options
      1. Average Chart
      2. Range Chart or Standard Deviation Chart
      3. EMP Results
      4. Effective Resolution
      5. Shift Detection Profiler
      6. Bias Comparison
      7. Test-Retest Error Comparison
    5. Additional Example of Measurement Systems Analysis
    6. Statistical Details for Measurement Systems Analysis
  13. Capability Analyses
    1. Launch the Platform
      1. Entering Limits
    2. Capability Plots and Options
      1. Goal Plot
      2. Capability Box Plots
      3. Normalized Box Plots
      4. Individual Detail Reports
      5. Make Summary Table
      6. Capability Indices Report
  14. Variability Charts
    1. Variability Charts
      1. Launch the Variability Platform
      2. Variability Chart
      3. Variability Platform Options
      4. Heterogeneity of Variance Tests
    2. Variance Components
      1. Variance Component Method
    3. R&R Measurement Systems
      1. Gauge R&R Variability Report
      2. Misclassification Probabilities
      3. Bias
      4. Linearity Study
    4. Discrimination Ratio Report
    5. Attribute Gauge Charts
      1. Data Organization
      2. Launching the Platform
      3. Platform Options
      4. Attribute Gauge Plots
      5. Agreement
      6. Effectiveness Report
  15. Pareto Plots
    1. Pareto Plots
      1. Assigning Variable Roles
      2. Pareto Plot Platform Commands
      3. Options for Bars
    2. Launch Dialog Options
      1. Threshold of Combined Causes
    3. One-Way Comparative Pareto Plot
    4. Two-Way Comparative Pareto Plot
    5. Defect Per Unit Analysis
      1. Using Number of Defects as Sample Size
      2. Using a Constant Sample Size Across Groups
      3. Using a Non-Constant Sample Size Across Groups
  16. Ishikawa Diagrams
    1. Preparing the Data for Diagramming
    2. Chart Types
    3. Building a Chart Interactively
      1. Text Menu
      2. Insert Menu
      3. Move Menu
      4. Other Menu Options
      5. Drag and Drop
  17. Lifetime Distribution
    1. Overview of Life Distribution Analysis
    2. Example of Life Distribution Analysis
    3. Launch the Life Distribution Platform
    4. The Life Distribution Report Window
      1. Event Plot
      2. Compare Distributions Report
      3. Statistics Report
      4. Competing Cause Report
    5. Life Distribution Platform Options
    6. Additional Examples of the Life Distribution Platform
      1. Omit Competing Causes
      2. Change the Scale
    7. Statistical Details
      1. Nonparametric Fit
      2. Parametric Distributions
  18. Lifetime Distribution II
    1. Introduction to Accelerated Test Models
    2. Launching the Fit Life by X Platform Window
    3. Platform Options
    4. Navigating the Fit Life by X Report Window
      1. Summary of Data
      2. Scatterplot
      3. Nonparametric Overlay
      4. Wilcoxon Group Homogeneity Test
      5. Comparisons
      6. Results
    5. Viewing Profilers and Surface Plots
    6. Using the Custom Relationship for Fit Life by X
  19. Recurrence Analysis
    1. Recurrence Data Analysis
      1. Launching the Platform
    2. Examples
      1. Valve Seat Repairs Example
      2. Bladder Cancer Recurrences Example
      3. Diesel Ship Engines Example
    3. Fit Model
  20. Degradation
    1. Overview of the Degradation Platform
    2. Launching the Degradation Platform
    3. The Degradation Report
    4. Model Specification
      1. Simple Linear Path
      2. Nonlinear Path
    5. Inverse Prediction
    6. Prediction Graph
    7. Platform Options
    8. Model Reports
      1. Model Lists
      2. Reports
    9. Destructive Degradation
    10. Stability Analysis
  21. Forecasting Product Reliability
    1. Example Using the Reliability Forecast Platform
    2. Launch the Reliability Forecast Platform
    3. The Reliability Forecast Report
      1. Observed Data Report
      2. Life Distribution Report
      3. Forecast Report
    4. Reliability Forecast Platform Options
  22. Reliability Growth
    1. Overview of the Reliability Growth Platform
    2. Example Using the Reliability Growth Platform
    3. Launch the Reliability Growth Platform
      1. Time to Event
      2. Timestamp
      3. Event Count
      4. Phase
      5. By
      6. Data Table Structure
    4. The Reliability Growth Report
      1. Observed Data Report
    5. Reliability Growth Platform Options
      1. Fit Model
      2. Script
    6. Fit Model Options
      1. Crow AMSAA
      2. Fixed Parameter Crow AMSAA
      3. Piecewise Weibull NHPP
      4. Reinitialized Weibull NHPP
      5. Piecewise Weibull NHPP Change Point Detection
    7. Additional Examples of the Reliability Growth Platform
      1. Piecewise NHPP Weibull Model Fitting with Interval-Censored Data
      2. Piecewise Weibull NHP Change Point Detection with Time in Dates Format
    8. Statistical Details for the Reliability Growth Platform
      1. Statistical Details for the Crow-AMSAA Report
      2. Statistical Details for the Piecewise Weibull NHPP Change Point Detection Report
    9. References
  23. Reliability and Survival Analysis
    1. Introduction to Survival Analysis
    2. Univariate Survival Analysis
      1. Selecting Variables for Univariate Survival Analysis
      2. Example: Fan Reliability
      3. Example: Rats Data
      4. Overview of the Univariate Survival Platform
      5. Statistical Reports for the Univariate Analysis
      6. Platform Options
      7. Fitting Distributions
      8. Interval Censoring
      9. WeiBayes Analysis
    3. Estimation of Competing Causes
      1. Omitting Causes
      2. Saving Competing Causes Information
      3. Simulating Time and Cause Data
  24. Reliability and Survival Analysis II
    1. Parametric Regression Survival Fitting
      1. Example: Computer Program Execution Time
    2. Launching the Fit Parametric Survival Platform
    3. Options and Reports
      1. Example: Arrhenius Accelerated Failure Log-Normal Model
      2. Example: Interval-Censored Accelerated Failure Time Model
      3. Example: Right-Censored Data; Tobit Model
    4. Proportional Hazards Model
      1. Example: One Nominal Effect with Two Levels
      2. Example: Multiple Effects and Multiple Levels
    5. Nonlinear Parametric Survival Models
      1. Loss Formulas for Survival Distributions
      2. Tobit Model Example
      3. Fitting Simple Survival Distributions
  25. References
  26. Index

Product information

  • Title: JMP 10 Quality and Reliability Methods
  • Author(s): SAS Institute
  • Release date: March 2012
  • Publisher(s): SAS Institute
  • ISBN: 9781612901992