PRESCRIPTIVE ANALYTICS FOR PERPETUAL PRODUCTION PROCESS OPTIMIZATION
DataProphet Prescribe
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 behavioral impact relevant to production process variables in their entirety, so global plant performance is continually optimizable.
FEATURES
Reduce your dependence on the availability of process experts and step towards autonomous manufacturing with DataProphet PRESCRIBE.
Linked data from multiple process steps
4 - 8 Week Deployment
Full situational awareness of your production environment
State-of-the-art guidance, enabled by prescriptive AI
Integration into any industrial data source
Overall equipment effectiveness (OEE) improvements
A digital, process compatible, model of your factory
BIG IMPACT COMES FROM SMALL ACTIONS
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.
WHY IT WORKS
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.
THE END OF THE LINE FOR LATENT DEFECTS
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.
Case Studies
Discover how DataProphet PRESCRIBE keeps our clients on top of process faults.
Manufacturing Case Study: Foundry
Our client is one of the largest foundries in the Southern Hemisphere. Each year it ...
Case Study: Stud Weld Quality in Automotive Assembly Lines
Our client is a major luxury and utility vehicle manufacturer that pride themselves on the ...
CASE STUDY—MONITIZER | PRESCRIBE AT CONDALS GROUP FOUNDRY
Condals’ three molding lines produce over 43,000 tons of iron castings each year at its ...
Deep Learning Optimization for Engine Block Manufacturing | a Case Study
Our client is a world-leading foundry with a presence in over forty countries across two ...
Manufacturing Case Study: Automotive Wheels OEM
Our customer is one of the world’s leading manufacturers of a wide range of high-quality, ...
HOW IT WORKS
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.
FAST IMPLEMENTATION, IMMEDIATE IMPACT
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.
CONTINUOUS IMPROVEMENT
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.
Some Of Our Clients Using Prescribe
