The importance of knowing the natural process variation becomes clear when we apply statistical process control.

Electrode selection is based primarily on the composition of the metal being welded, the process variation being used, joint design and the material surface conditions.

They possess the knowledge needed to set up quality control circles, assess potential quality risks, and evaluate human factors and natural process variation.

Continuous efforts to achieve stable and predictable process results (i.e., reduce process variation) are of vital importance to business success.

To account for this real-life increase in process variation over time, an empirically-based 1.5 sigma shift is introduced into the calculation.

See process variation, design for manufacturability, reliability engineering, and statistical process control.

This style also amplifies the impact of process variation, especially inter-die variation.

These methods are based on continuous monitoring of process variation.

They are used during wafer testing to measure the effects of manufacturing process variations.

These structures are placed across the wafer at specific locations along with the chip produced so that a closer look into the process variation is possible.