With all the hype around Artificial Intelligence (AI) and Industry 4.0, it’s hard to tell what real value can be achieved through the implementation of AI in your production environment. Frans Cronje, Co-Founder and CEO of DataProphet, will be talking about how AI can use large quantities of production and quality data to actively reduce defects. The improvement in yield will be explained using case studies in which they produced real quantifiable results in reducing the cost of non-quality and therefore increased profit in an automotive assembly plant.
During the presentation Frans will shed light on the type of data required, volume and where good data resides in the production line. An AI solution can ingest data from multiple sources across a production line and provides a unified view of the data to develop a digital twin. This digital twin is used to develop models to identify the optimum state of a plant and prescribe parameter optimization actions to operators based on up and down stream variables.
Frequently asked questions regarding how much data is enough, whether every piece of data should be collected and many more will be covered during the presentation. This talk covers the reimagining of data analysis with AI and how AI, as a solution takes traditional SPC and Root Cause analysis to the next level.