TMAC ai™
Reduce Scrap, Costs, & Cycle Time While Increasing Tool Life
Real-time sensor data from Caron Engineering’s TMAC solution combined with real-time analysis from Datanomix to slash inspection time, cutting time, and tooling costs.
Datanomix + Caron Engineering
Caron Engineering has chosen us as their advanced analytics partner to mine insights from their data. We’ve integrated and analyzed Caron Engineering tool performance and optimization data to deliver more profound insights that ultimately give you more visibility from the tool to the machine to the overall factory.
Predictive Insights with TMAC ai
TMAC ai optimizes the manufacturing process by analyzing real-time sensor data to predict part quality, prolong tool life, and reduce cycle time. Manufacturers can shift quality inspections from post-production to in-process, significantly reducing waste and improve yield. Additionally, TMAC ai provides data-driven insights into tool wear which can extend tool life, driving dramatic cost savings by avoiding premature tool replacement.
In a nutshell, TMAC ai applies Caron Engineering TMAC data and Datanomix Production Monitoring data to help customers get Predictive Insights into three key areas of production:
“With Datanomix, we are bringing advanced data science to our customers, extending insights past tool optimization to overall machine performance and beyond.”
Rob Caron, Founder & President
Caron Engineering
Predictive QualityTM
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Improve yield by predicting quality and reduce scrap by detecting anomalies while a part is cutting—not after the part is made. During the production process, TMAC ai will provide feedback while parts are running to proactively identify parts that will affect yield within minutes of the cut completing.
Predictive Tool LifeTM
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Extend tool life by using advanced analytics from TMAC to prescribe ideal tool life settings for every cut and every part. TMAC ai will Improve tool life by leveraging the part’s quality analytics to determine where tool life should be extended or reduced. Optimizations for predictive tool life are based on real cutting data and provide insights on where you can extend tool life to reduce costs or where you need to shorten tool life to improve quality.
Predictive Cycle Times
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Reductions based on cutting analysis help you analyze any cut with detailed precision to make process and cycle time improvements.
How Does it Work?
- TMAC ai connects to existing TMAC systems and builds per cut models to identify parts that were likely cut out of tolerance
- TMAC ai surfaces “Suspect Parts” in automated reports to help you identify process excursions and root causes that are affecting scrap
- TMAC ai uses the same per cut models to suggest opportunities where Tool Life can be extended while continuing to make good parts!
“TMAC ai is a natural extension of our work with Datanomix. Together, we offer a powerful solution to manufacturers who are looking for advanced analytics to identify process issues, sources of scrap, and tool cost savings opportunities. Current TMAC customers can get TMAC ai from Datanomix and start generating these insights immediately.”
Rob Caron, Founder & President
Caron Engineering
Want More Predictive Insights?
Contact us to start using real-time sensor data to predict part quality, prolong tool life, and reduce cycle time.