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3.   Production Process Characterization - Detailed Table of Contents  [3.]



  1. Introduction to Production Process Characterization  [3.1.]
    1. What is PPC?  [3.1.1.]
    2. What are PPC Studies Used For?  [3.1.2.]
    3. Terminology/Concepts  [3.1.3.]
      1. Distribution (Location, Spread and Shape)  [3.1.3.1.]
      2. Process Variability  [3.1.3.2.]
        1. Controlled/Uncontrolled Variation  [3.1.3.2.1.]
      3. Propagating Error  [3.1.3.3.]
      4. Populations and Sampling  [3.1.3.4.]
      5. Process Models  [3.1.3.5.]
      6. Experiments and Experimental Design  [3.1.3.6.]
    4. PPC Steps  [3.1.4.]

  2. Assumptions / Prerequisites  [3.2.]
    1. General Assumptions  [3.2.1.]
    2. Continuous Linear Model  [3.2.2.]
    3. Analysis of Variance Models (ANOVA)  [3.2.3.]
      1. One-Way ANOVA  [3.2.3.1.]
        1. One-Way Value-Splitting  [3.2.3.1.1.]
      2. Two-Way Crossed ANOVA  [3.2.3.2.]
        1. Two-way Crossed Value-Splitting Example  [3.2.3.2.1.]
      3. Two-Way Nested ANOVA  [3.2.3.3.]
        1. Two-Way Nested Value-Splitting Example  [3.2.3.3.1.]
    4. Discrete Models  [3.2.4.]

  3. Data Collection for PPC  [3.3.]
    1. Define Goals  [3.3.1.]
    2. Process Modeling  [3.3.2.]
    3. Define Sampling Plan  [3.3.3.]
      1. Identifying Parameters, Ranges and Resolution  [3.3.3.1.]
      2. Choosing a Sampling Scheme  [3.3.3.2.]
      3. Selecting Sample Sizes  [3.3.3.3.]
      4. Data Storage and Retrieval  [3.3.3.4.]
      5. Assign Roles and Responsibilities  [3.3.3.5.]

  4. Data Analysis for PPC  [3.4.]
    1. First Steps  [3.4.1.]
    2. Exploring Relationships  [3.4.2.]
      1. Response Correlations  [3.4.2.1.]
      2. Exploring Main Effects  [3.4.2.2.]
      3. Exploring First Order Interactions  [3.4.2.3.]
    3. Building Models  [3.4.3.]
      1. Fitting Polynomial Models  [3.4.3.1.]
      2. Fitting Physical Models  [3.4.3.2.]
    4. Analyzing Variance Structure  [3.4.4.]
    5. Assessing Process Stability  [3.4.5.]
    6. Assessing Process Capability  [3.4.6.]
    7. Checking Assumptions  [3.4.7.]

  5. Case Studies  [3.5.]
    1. Furnace Case Study  [3.5.1.]
      1. Background and Data  [3.5.1.1.]
      2. Initial Analysis of Response Variable  [3.5.1.2.]
      3. Identify Sources of Variation  [3.5.1.3.]
      4. Analysis of Variance  [3.5.1.4.]
      5. Final Conclusions  [3.5.1.5.]
      6. Work This Example Yourself  [3.5.1.6.]
    2. Machine Screw Case Study  [3.5.2.]
      1. Background and Data  [3.5.2.1.]
      2. Box Plots by Factors  [3.5.2.2.]
      3. Analysis of Variance  [3.5.2.3.]
      4. Throughput  [3.5.2.4.]
      5. Final Conclusions  [3.5.2.5.]
      6. Work This Example Yourself  [3.5.2.6.]

  6. References  [3.6.]
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