AI is transforming Aluminum manufacturingAchieve real impact with pre-emptive actions because real-time is often too late.
DataProphet’s PRESCRIBE is at the forefront of AI for the manufacturing sector. We offer a manufacturing optimization solution designed to prescribe changes to multiple processes in order to eliminate defects, reduce scrap and improve yield in the production process.
Holistic AI solutions
DataProphet’s suite of AI solutions work seamlessly together to create a holistic system. Through the use of edge devices, we are able to collect data and feed it to the correct channels.
Scalability across multiple plants
DataProphet PRESCRIBE is able to seamlessly scale across multiple lines and plants, allowing users to take advantage of the results PRESCRIBE offers.
Our AI is able to improve the quality of the aluminum produced, in any format, due to our prescriptive changes. Making changes preemptively, based on previous success, enables this quality improvement.
DataProphet PRESCRIBE integrates into the existing systems of the plant, allowing it to act without excessive and costly installation procedures and the purchase of large equipment.
Long-term global demand for Aluminum is on the rise, despite the short-term uncertainties affecting production and consumer demand. Emerging markets and the move towards environmental sustainability are important factors driving investment and innovation across competitors within the industry. Given the cost of new mills, Aluminum producers have looked increasingly to empower engineers and operators with sensors and control systems to meet the strict quality requirements across new and growing automotive and aerospace applications.
DataProphet PRESCRIBE is an Enterprise-ready AI-driven Expert Execution Systems (EES) that analyzes relationships across multi-step processes to provide operators and machines with pre-emptive process control changes to reduce surface defects or physical variation across aluminum products. DataProphet PRESCRIBE analyzes recent set-points and quality information to prescribe changes to process parameters like coolant flow or roller pressure, which reduce surface defects or physical variations in the production process.