Predisys® builds quality into each unique process
"The new system will help us recognize problems faster and reduce the amount of product scrap. It has the potential to save us $8 million a year."
"We were inundated with data, yet starving for useful business information... We investigated a number of providers but quickly realized that Predisys® was committed to creating a solution tailored to our specific information requirements."
Michael Kilday, Corporate Director of Quality Assurance
Uniquely connect process inputs to quality outputs in all plastics processes
Uniquely Scalable
Native Azure Architecture provides unlimited scalability
Deployable at both internal plant locations and supplier locations
No code approach to configure the application to any process or industry
Proprietary drivers enable connection to any existing test infrastructure
Unique data normalization model enables global access to high-quality data
CONNECTIVITY AND ACCESS TO DATA
Empowering Innovation by Simplifying Integration
The Predisys data collection model allows real-time connectivity and integration with existing quality systems and test instrumentation. The Azure IoT platform further bolsters the Predisys agnostic approach to data collection, allowing for edge processing and further upstream visibility while adding even more flexibility from a data source perspective, enabling manufacturers to send data to the Predisys application via simple JSON messages.
Universal Data Integration Methodology
Predisys Analytical Suite™
"We chose the solution from Predisys because it can be integrated seamlessly into our existing Manufacturing Execution System. The large volumes of data that are generated from our complex manufacturing process are summarized into process capability and stability."
Iain Docherty - Engineering Group Leader
"This is the best SPC software I have seen and it will only get better. I can only confirm that Medbio made the right choice with the software and the Predisys organization to continue and maintain this partnership."
Steve Morgan - Quality Manager at Medbio
"We operate in a rapidly changing business, and customers have different kinds of network configurations. Both handling of and making the most of the data would be totally impossible with our old systems."
Jari Saali - Director of Quality and Process Development
TRUE SPC VS. SQC
Uniquely Connecting Quality Outcomes and Process Inputs
Most corporate SPC implementations are targeting product quality outcomes only. They use data collected from product inspection steps typically at the end of the manufacturing process. Connection between quality outcome and process inputs is difficult to identify.
With its partners, Predisys uses the Microsoft Azure IoT and Mission Critical Edge (MCE) architecture together with the latest sensor technologies to build true predictive controls into the manufacturing process. Advanced algorithms help to identify process conditions and automatically detect their fingerprints.
Process
Inputs
Quality
Outcomes
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Quality
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Product
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Process
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Time Series
Telemetric Data
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Supplier Quality
(Incoming Material)
Edge Data Collection Powered by Azure IoT
Removes Latency
Increased Data Storage
Unparalleled Insights
Big Data Quality and SPC Analytics
What does it mean?
Your manufacturing process is transformed from reactive quality to predictive process control.
