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This is an excerpt from an interview Generis Group did with Frans Cronje, Managing Director and Co-founder of DataProphet prior to the American Automotive Summit 2018.
“How does AI work with an existing production team to eliminate defects, scrap and minimize downtime?
Our flagship product, OMNI, is a powerful process parameter optimization solution that significantly reduces waste in manufacturing processes. OMNI recommends optimal parameter values to the production team, enabling them to continuously improve the individual processes for which they are responsible.
OMNI does this by plugging into the data that is recorded in the manufacturing process as well as quality data that is recorded upon the manufactured product. OMNI then learns from it – determining the complex effects that different input parameters have on the quality of the final product.
Once OMNI has learned from the data, it goes on to provide the production team with recommended changes to the process variables that take into account the current state of raw materials, temperature, and other parameters relevant to production.
In the foundry industry, we helped a major engine block manufacturer reduce their external scrap rate to 0% using OMNI’s predictive capabilities.”
Questions discussed:
- How does AI work with an existing production team to eliminate defects, scrap and minimize downtime?
- What is the process that automotive manufacturers will have to undertake to leverage AI?
- What are some of the biggest hurdles manufacturers must overcome in order to implement machine learning?
- What is the difference in operations and outcomes when comparing the use of statistical process control to AI-enabled process control?
- What are some machine learning misconceptions that you have encountered?
- What makes OMNI an effective system for the automotive industry?
Click through to read the full interview here.
Frans will be leading a workshop on “Active AI for Optimizing Control Parameters: Results from Welding and Casting Environment” at the American Automotive Summit 2018 in November.
