Dataprophet, a global leader in Artificial Intelligence (AI) for manufacturing, is working withNexteer Automotive, a global leader in intuitive motion control, to implement artificial intelligence (AI) to drive innovation in one of its Saginaw plants.
通过机器学习，DataProphet的任务是降低质量变化以及由此产生的废料和返工。DataProphet合并了数千个流程参数，这些参数会影响整体质量，可控处方将在线交付。
“We wanted to take a deeper look at our data to see if we could improve plant productivity,” said Jeff Sutter, Global Director of Innovation & Continuous Improvement, Nexteer Automotive. “With DataProphet’s advanced deep learning capabilities, we are exploring factors that will allow us to not only reduce scrap but improve the entire manufacturing process. Deep learning allows us to further build on our investments inDigital Trace™ Manufacturing.”
Dataprophet’s AI for dynamic process control is built specifically to learn complexities and provide operators on the line with the optimal plan to reduce scrap. By learning from historic production and quality data, DataProphet PRESCRIBE is able to prompt the operator with the best next action - preserving the institutional knowledge otherwise hidden in the data. DataProphet’s solutions are proven to frequently deliver over 50 percent reduction in scrap for manufacturing customers around the world.
“Nexteer is already working in one of the more advanced data analytics environments and understands the value that AI can unlock in its production processDataprophet首席执行官Frans Cronje说。“我们的数据科学家和计算机工程师团队受到启发，与如此复杂的全球汽车供应商合作。我们期待看到使用Dataprophet的AI处方实时在实时运行的萨吉诺工厂的结果。”
