AI is transforming Rubber 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 and scrap and improve yield in the production process.
Connectivity across multiple platforms
DataProphet PRESCRIBE is supported by DataProphet CONNECT which uses DataProphet EDGE, on edge devices, that ensure that data from PLCs and other factory sources are reliably and securely synchronized with CONNECT.
Scales across multiple machine lines and plants
DataProphet PRESCRIBE is able to seamlessly scale across multiple lines and plants, allowing users to take advantage of the results PRESCRIBE offers.
Reduce rework and scrap
Our AI is able to reduce the rework and scrap induced in the production process, saving time in the long run. It does this by ensuring changes are made pre-emptively as opposed to in real-time.
Saves costs with improved optimization
DataProphet PRESCRIBE reduces uncertainties in optimizing machine setup and optimization for operators. It does this by assisting in the optimization decisions operators need to make by providing a clear list of changes, ultimately saving costs in the long run.
To customers, tire defects are not acceptable. Tires are one of the most tested products in the world. Today’s tires are screened under visual inspection, with automated machines measuring tire balance, vibration, and deformation. Manufacturers look to prevent tread, belt, bead and sidewall failures, scrap tires that fail to meet their high standards.
At DataProphet, our Enterprise-ready AI-driven Expert Execution Systems (EES) use feedback to prevent defects. DataProphet PRESCRIBE analyzes recent set-points and quality control data to suggest improved compensatory set-point changes which improve process yield. Ahead of real-time means making changes before defects take place. Our AI-driven system finds the best set-points when everything is stable to ensure defects are reduced.
Tire manufacturers look to innovation to lead their competitors. With feedback, AI-systems will improve equipment effectiveness, reduce consumption, and adapt and improve through time. Factories with AI-driven manufacturing will lead in sustainability, profitability and reliability.