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Optimizing Processes with Design of Experiments
Do you need an efficient way to determine which process changes will yield the greatest gains?
This paper outlines how to move beyond experimenting with one factor at a time, the limits of classical design and under what conditions its most appropriate to apply DOE.
Through two real-word case studies, you will learn how a specialty chemicals supplier developed a robust process for a hard-manufacture product and how a semiconductor manufacturer optimized their process involving the application of silicon nitride to wafers.
You will learn best practices for defining new, cost-effective data collection plans using recent advances in DOE, statistically model the important patterns of variation in the resulting data, and visually interact with these models to identify optimum and robust operating conditions.
Interested in learning more? Register for this free archived webinar Engineering Better Processes with Design of Experiments.