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Using Design of Experiments to Minimize Noise Effects

A useful tool to make processes and products less sensitive to variations

Bruno Scibilia
Thu, 06/27/2013 - 08:14
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All processes are affected by various sources of variations over time. Products that are designed based on optimal settings will, in reality, tend to drift away from their ideal settings during the manufacturing process.

'Variability is the enemy'

Environmental fluctuations and process variability often cause major quality problems.

Focusing only on costs and performances is not enough. Sensitivity to deterioration and process imperfections is an important issue. It is often not possible to completely eliminate variations due to uncontrollable factors such as temperature changes, contamination, humidity, and dust.

For example, the products sold by your company might go on to be used in many different environments across the world, or in many different (and unexpected) ways, and your process, even when it has been carefully designed and fine-tuned, will tend to vary over time.

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Comments

Submitted by MikeWhitePE on Wed, 07/03/2013 - 17:49

Dr. Taguchi

It would have been nice to see a respectful nod, if not an actual reference, to the work of the late Dr. Genichi Taguchi, who was a true trail blazer in the area of robustness to noise, including identifying factor-settings' operating windows for noise effect minimization and variation reduction.

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