Six Sigma Fundamentals: A Complete Introduction to the System, Methods, and Tools

Chapter 3: The Six Sigma DMAIC Model

Table 3.1: Typical tools/methodologies and deliverables for the DMAIC model

Chapter 4: Common Methodologies Used in the DMAIC Model

Table 4.1: Deliverables of the five-phase benchmarking model

Table 4.2: Major differences between product and process control

Table 4.3: Guide for determining the number of class intervals

Table 4.4: Typical characteristics of variation

Table 4.5: A guideline for constructing variable control charts

Table 4.6: A guideline for constructing attribute control charts

Table 4.7: Testing for normality and exponentiality

Table 4.8: Generic five steps for poka-yoke

Table 4.9: Generic mistake-proofing implementation process

Table 4.10: A typical cost of quality report

Table 4.11: Typical tools used in the six sigma methodology

Chapter 5: Design for Six Sigma: The DCOV Model

Table 5.1: Typical tools/methodologies and deliverables for the DCOV model

Chapter 6: Common Methodologies and Tools Used in the DCOV Model

Table 6.1: The flow of the matrices

Table 6.2: An alternate sequence of the quality charts.

Table 6.3: Typical project status values

Table 6.4: Typical tools used in implementing DFSS

Chapter 7: Roles and Responsibilities

Table 7.1: Different role names used in the six sigma methodology

Chapter 8: Six Sigma Applied in Non-Manufacturing

Table 8.1: Comparison of PSM, DMAIC and DCOV models

Table 8.2: A summary of the six sigma and EMS stages

Appendix E: Using Binomial and Poisson Distributions

Table E.1: Poisson probability distribution

Table E.2: Binomial probability distribution