The concept of the design of experiments (DoE), alternatively known as “robust design” or “variability reduction,” has been used to reduce some of the sources of manufacturing variation or manipulate ...

Accurate estimation of new product cost and quality is becoming very important for electronic enterprises. A good understanding of how cost and quality affect major decisions in material and process s...

The test and repair cost driver in Table 6.7 is a historical estimate in the technology-based cost model, and is based on previous or similar products FTY yields. In the quality-based cost model, test...

The quality of current products and manufacturing processes is dependent on their history and original design parameters....

The strategy for the implementation of six sigma quality in current product manufacturing is quite different form the strategy of setting and achieving six sigma quality goals for new products....

One of the most important consequences of implementing six sigma has been the increased use of DoEs by the design engineering community....

For the hipot experiment, the initial ANOVA table is constructed in Table 7.15. An example is given at the top of how to calculate the sum of the squares for factor A....

Statistical analysis of DoEs is based on the analysis of variance (ANOVA), which is a method of determining the significance of each factor in terms of its effects on the output quality characteristic...