An Introduction to Acceptance Sampling and SPC with R

Cover
Half Title
Title Page
Copyright Page
Contents
Preface
List of Figures
List of Tables
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
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
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
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
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 18th 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
6. Time Weighted Control Charts in Phase II
	6.1.Time Weighted Control Charts When the In-control μ and  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 ˙˙
	6.3. Examples
	6.4. Time Weighted Control Charts Using Phase I estimates of μ and 
	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
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
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
Bibliography
Index