DataProphet PRESCRIBE optimizes your manufacturing process with proven, world-leading prescriptive analytics that continually adapts to the complexity of your dynamic production environment. We guarantee ongoing, measurable improvements to global plant performance.
DataProphet PRESCRIBE is a unique, deep learning solution designed to reduce manufacturing risk in multi-step processes. This Expert Execution System (EES) uses existing production data to model the web of interdependencies between manufacturing parameters, and learns how they impact product and throughput quality. PRESCRIBE suggests targeted adjustments guaranteeing holistic line control. Its prescriptive course corrections capture the behavioural impact relevant to production process variables in their entirety, so global plant performance is continually optimizable.
Reduce your dependence on the availability of process experts and step towards autonomous manufacturing with DataProphet PRESCRIBE.
Manufacturers understand that their production lines are not static. Machines wear, environmental conditions are variable, and the composition of input materials drifts imperceptibly. This means factories must adapt to the vagaries of uncontrollable factors which influence production. Our Expert Execution System regularly updates its underlying model for a deeper understanding of the plant process’s behavior. The PRESCRIBE EES continually tracks process data and automatically re-aligns prescriptions with the latest plant state. The outcome? Reliable, perpetual guidance for a contextualized industrial process that does not interfere with production, but takes it from a current, suboptimal, state to one that is optimal for quality and throughput.
DataProphet PRESCRIBE continuously ingests raw production process data generated from multiple data sources and feeds the parsed information into an AI model. Designed and built using proven, cutting-edge deep learning techniques, DataProphet PRESCRIBE translates complex, cascading process dynamics into a simple sequence of operator prescriptions that improve the performance of your production line.
By the time a latent defect is discovered it is typically too late to correct the process anomaly for certain batches prior to the detection of the anomaly, and for several subsequent batches. This results in a growing scrap heap; wasted production time; energy inefficiency, and unnecessary operational costs. Because DataProphet PRESCRIBE ties the best producible quality of components to all controllable manufacturing parameters, the best possible rate of defect reduction is assured.
Discover how DataProphet PRESCRIBE keeps our clients on top of process faults.
The DataProphet PRESCRIBE Expert Execution System (EES) provides a streamlined web interface. Operators and engineers access the interface from the factory floor to consult a step-by-step list of recommended process adjustments that improve and stabilize production KPIs up and down the line. Once integrated into your existing data environment, DataProphet PRESCRIBE combines process and quality data and actively pushes small process parameter changes to your operators pre-emptively, avoiding defects and yield loss.
It takes between four and eight weeks to integrate DataProphet PRESCRIBE into your manufacturing process and infrastructure. During implementation, our data science experts build leading-edge machine learning models for your unique environment that will process and extract value from your data. In real-world applications, impact occurs once the integration is complete; return on investment usually happens within 12 months.
In large-scale manufacturing, consistent and measurable improvement overtime needs to happen at sustainable operational costs. DataProphet’s AI-as-a-Service solution – overseen by our highly specialized and experienced data scientists and engineers – is testament to an operating principle that finds maximum value in targeted, high-impact modifications, as opposed to sweeping and capital-intensive restructuring.