An Introduction to Acceptance Sampling and SPC with R 1st Edition by John Lawson ISBN 0367569957 9780367569952

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ISBN 10:    0367569957
ISBN 13: 978-0367569952
Author:    John Lawson

An Introduction to Acceptance Sampling and SPC with R 1st Table of contents:

1. Introduction and Historical Background

• 1.1 Origins of Statistical Quality Control
• 1.2 Expansion and Development of Statistical Quality Control during WW II
• 1.3 Use and Further Development of Statistical Quality Control in Post-War Japan
• 1.4 Re-emergence of Statistical Quality Control in U.S. and the World

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2. Attribute Sampling Plans

• 2.1 Introduction
• 2.2 Attribute Data
• 2.3 Attribute Sampling Plans
• 2.4 Single Sample Plans
• 2.5 Double and Multiple Sampling Plans
• 2.6 Rectification Sampling
• 2.7 Dodge-Romig Rectification Plans
• 2.8 Sampling Schemes
• 2.9 Quick Switching Scheme
• 2.10 MIL-STD-105E and Derivatives
• 2.11 MIL-STD-1916
• 2.12 Summary
• 2.13 Exercises

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3. Variables Sampling Plans

• 3.1 The k-Method
  • 3.1.1 Lower Specification Limit
    • 3.1.1.1 Standard Deviation Known
    • 3.1.1.2 Standard Deviation Unknown
  • 3.1.2 Upper Specification Limit
    • 3.1.2.1 Standard Deviation Known
    • 3.1.2.2 Standard Deviation Unknown
  • 3.1.3 Upper and Lower Specification Limits
    • 3.1.3.1 Standard Deviation Known
    • 3.1.3.2 Standard Deviation Unknown
• 3.2 The M-Method
  • 3.2.1 Lower Specification Limit
    • 3.2.1.1 Standard Deviation Known
    • 3.2.1.2 Standard Deviation Unknown
  • 3.2.2 Upper Specification Limit
    • 3.2.2.1 Standard Deviation Known
    • 3.2.2.2 Standard Deviation Unknown
  • 3.2.3 Upper and Lower Specification Limit
    • 3.2.3.1 Standard Deviation Known
    • 3.2.3.2 Standard Deviation Unknown
• 3.3 Sampling Schemes
  • 3.3.1 MIL-STD-414 and Derivatives
• 3.4 Gauge R&R Studies
• 3.5 Additional Reading
• 3.6 Summary
• 3.7 Exercises

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4. Shewhart Control Charts in Phase I

• 4.1 Introduction
• 4.2 Variables Control Charts in Phase I
  • 4.2.1 Use of X¯ -R charts in Phase I
  • 4.2.2 X¯ and R Charts
  • 4.2.3 Interpreting Charts for Assignable Cause Signals
  • 4.2.4 X¯ and s Charts
  • 4.2.5 Variable Control Charts for Individual Values
• 4.3 Attribute Control Charts in Phase I
  • 4.3.1 Use of a p Chart in Phase I
  • 4.3.2 Constructing other types of Attribute Charts with qcc
• 4.4 Finding Root Causes and Preventive Measures
  • 4.4.1 Introduction
  • 4.4.2 Flowcharts
  • 4.4.3 PDCA or Shewhart Cycle
  • 4.4.4 Cause-and-Effect Diagrams
  • 4.4.5 Check Sheets or Quality Information System
  • 4.4.6 Line Graphs or Run Charts
  • 4.4.7 Pareto Diagrams
  • 4.4.8 Scatter Plots
• 4.5 Process Capability Analysis
• 4.6 OC and ARL Characteristics of Shewhart Control Charts
  • 4.6.1 OC and ARL for Variables Charts
  • 4.6.2 OC and ARL for Attribute Charts
• 4.7 Summary
• 4.8 Exercises

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5. DoE for Troubleshooting and Improvement

• 5.1 Introduction
• 5.2 Definitions
• 5.3 2k Designs
  • 5.3.1 Examples
  • 5.3.2 Example 1: A 23 Factorial in Battery Assembly
  • 5.3.3 Example 2: Unreplicated 24 Factorial in Injection Molding
• 5.4 2k–p Fractional Factorial Designs
  • 5.4.1 One-Half Fraction Designs
  • 5.4.2 Example of a One-half Fraction of a 25 Designs
  • 5.4.3 One-Quarter and Higher Order Fractions of 2k Designs
  • 5.4.4 An Example of a ⅛th Fraction of a 27 Design
• 5.5 Alternative Screening Designs
  • 5.5.1 Example
• 5.6 Response Surface and Definitive Screening Experiments
• 5.7 Additional Reading
• 5.8 Summary
• 5.9 Exercises

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6. Time Weighted Control Charts in Phase II

• 6.1 Time Weighted Control Charts When the In-control μ and σ are known
  • 6.1.1 Cusum Charts
    • 6.1.1.1 Headstart Feature
    • 6.1.1.2 ARL of Shewhart and Cusum Control Charts for Phase II Monitoring
  • 6.1.2 EWMA Charts
    • 6.1.2.1 ARL of EWMA, Shewhart and Cusum Control Charts for Phase II Monitoring
    • 6.1.2.2 EWMA with FIR Feature
• 6.2 Time Weighted Control Charts of Individuals to Detect Changes in σ
• 6.3 Examples
• 6.4 Time Weighted Control Charts Using Phase I estimates of μ and σ
• 6.5 Time Weighted Charts for Phase II Monitoring of Attribute Data
  • 6.5.1 Cusum for Attribute Data
  • 6.5.2 EWMA for Attribute Data
• 6.6 Exercises

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7. Multivariate Control Charts

• 7.1 Introduction
• 7.2 T2-Control Charts and Upper Control Limit for T2 Charts
• 7.3 Multivariate Control Charts with Sub-grouped Data
  • 7.3.1 Phase I T2 Control Chart with Sub-grouped Data
  • 7.3.2 Multivariate Control Charts for Monitoring Variability with Sub-grouped Data
  • 7.3.3 Phase II T2 Control Chart with Sub-grouped Data
• 7.4 Multivariate Control Charts with Individual Data
  • 7.4.1 Phase I T2 with Individual Data
  • 7.4.2 Phase II T2 Control Chart with Individual Data
  • 7.4.3 Interpreting Out-of-control Signals
  • 7.4.4 Multivariate EWMA Charts with Individual Data
• 7.5 Summary
• 7.6 Exercises

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8. Quality Management Systems

• 8.1 Introduction
• 8.2 Quality Systems Standards and Guidelines
  • 8.2.1 ISO 9000
  • 8.2.2 Industry Specific Standards
  • 8.2.3 Malcolm Baldridge National Quality Award Criteria
• 8.3 Six-Sigma Initiatives
  • 8.3.1 Brief Introduction to Six Sigma
  • 8.3.2 Organizational Structure of a Six Sigma Organization
  • 8.3.3 The DMAIC Process and Six Sigma Tools
  • 8.3.4 Tools Used in the DMAIC Process
  • 8.3.5 DMAIC Process Steps
  • 8.3.6 History and Results Achieved by the Six Sigma Initiative
  • 8.3.7 Six Sigma Black Belt Certification
• 8.4 Additional Reading
• 8.5 Summary

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