Fewer losses and less waste mean saving precious time and resources.
Automated alerts, such as identifying a catcher jam on a shingle machine, can help building materials manufacturers significantly reduce both waste and costs. Condition monitoring and predictive maintenance tools help facilities maximize uptime while minimizing wasted product due to unexpected shutdowns.
In order to improve yield, teams need to understand which parameters have the biggest impact on overall output.
Data taxonomy means teams are always analyzing standardized data when looking for improvement opportunities. Correlating large, complex variable sets complements the intrinsic process knowledge of engineers and SMEs. Our advanced CrossRank AI can also help teams optimize output for ideal quality-to-cost ratios.
Working together, IIoT tools enable building materials manufacturers to achieve golden batches time and time again.
Store recipes and production settings for faster changeovers. Monitor and understand operational adherence to production standards in order to reduce variability. Use advanced AI and ML to discover the best settings for a given product, then send these settings directly to the shop floor for immediate ROI.
Uncover hidden opportunities to drive improvements in quality and overall process efficiency.
Standardize process monitoring and controls for full process visibility and improved operator compliance.
Discover how digital twins revolutionize factory decision-making, driving efficiency for forward-thinking manufacturers.
I’ve prepared this stream of resources to show you how Braincube can help accelerate Shaw Industries’ transition to a more connected, autonomous enterprise.
The ultimate daily operations tool. Obtain directive production insights for instant and residual ROI.
Accelerate industrial use cases with automated data flows to improve critical KPIs. Solve your biggest challenges with actionable, self-sustaining optimizations.
The leading Industrial AI for advanced analytics. Save technical teams time and effort by bringing self-service analytics into your tech stack.
Maddy is dedicated to enabling manufacturers to discover straightforward solutions for complex challenges. Leveraging her knowledge of manufacturing processes, her mission is to help customers translate data into actionable insights that drive productivity, enhance performance, and promote sustainability. With extensive experience in tech and high-volume recruiting, she adopts a personalized and collaborative approach to identifying opportunities and guiding organizations in their transformations. Based in Portland, Maine, Maddy enjoys hiking with her dog Arrow, trying new restaurants, and traveling.
