With all the hype around 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 DataProphet 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 a production line, that is required to provide a unified view of the data in order 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.
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.