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Action Standards for Machines and Humans in Quality Assurance

Taught by Dr. Daniel Ennis and Dr. Benoit Rousseau



Descriptive analysis of consumer products is extensively used to make quality decisions often involving a standard against which test products are compared. Current analysis of this type of data typically involves single attribute tests or even qualitative decisions based on spider plots of the attribute profiles.

In 1993, a U.S. patent described a machine process for automatic high speed multi-attribute image inspection of finished product labels in manufacturing. The machine used data to calculate a single statistic to accept or reject an item depending on whether it was typical or not of current production.

In this webinar we will demonstrate how these ideas can also be used to evaluate products using sensory variables from a descriptive panel.

This webinar is intended for a general audience of sensory professionals and graduate students. No detailed technical knowledge is assumed.

A digital recording of this webinar is available for purchase ($289).

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