In many organizations, a lot of process data is captured automatically from sensors and transmitters. Those process data can often be used to predict quality characteristics of the final product.
In this presentation you will learn how we can use process measurements to predict the result of a final inspection test resulting in lower inspection cost and faster learning on the process.
- What is a soft sensor?
- Advantages of soft sensors
- Steps in building a soft sensor
- Application example: The tensile strength lab test
Martin Carignan is a consultant having more than twenty years of experience in the field of industrial statistics and performance improvement.
He is an associate at Différence GCS. He holds a Bachelor degree in Mathematics, a Master degree in Statistics, and an MBA.
He provides consulting and training in Lean Six Sigma, Daily management as well as on the application of multiple statistical tools like Design of Experiments (DOE), Multivariate analysis, and acceptance sampling.
Connect with Martin on LinkedIn: https://www.linkedin.com/in/martincarignan/
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