Six Sigma for Electronics Design and Manufacturing

Chapter 2: The Elements of Six Sigma and Their Determination

Overview

In this chapter, the concepts needed to define six sigma quality in design and manufacturing are differentiated from each other. Several techniques are developed for analyzing individual parts, as well as higher orders of complexity such as assemblies, modules, systems, and product designs. In addition, techniques for measuring manufacturing line performance are also developed for use in the six sigma concept. The following topics are discussed in this chapter:

  1. The quality measurement techniques: SQC, six sigma, Cp and Cpk. This section is a review of the different methods used to design for quality as well as to control quality. Several techniques are outlined and the differences between the methods are contrasted.

  2. The Cpk approach versus six sigma. In this section, the concept of Cpk is analyzed and compared to six sigma. The Cpk approach reduces some of the ambiguities of the 1.5 shift of the process average used in the traditional Six Sigma calculations. Cpk calculations, including negative Cpk, are analyzed, and the effects of average shifts on Cpk are also shown.

  3. Calculating defects using normal distribution. In this section, defect calculations are shown for variable and attribute processes and designs. Many examples are shown for different conditions of average shift and process variability.

  4. Are manufacturing processes and supply parts always normally distributed? Assuming normality of manufacturing process distribution is an important part of calculating defects, yields, and performing other statistical analyses of six sigma. In this section, the requirements for assuming normal distribution of manufacturing processes are examined,...

UNLIMITED FREE
ACCESS
TO THE WORLD'S BEST IDEAS

SUBMIT
Already a GlobalSpec user? Log in.

This is embarrasing...

An error occurred while processing the form. Please try again in a few minutes.

Customize Your GlobalSpec Experience

Category: Statistical Process Control Software (SPC)
Finish!
Privacy Policy

This is embarrasing...

An error occurred while processing the form. Please try again in a few minutes.