A new generation of process control technology is here for the optimized factory. As companies shift from product-driven operations to customer centric, demand-driven manufacturing, industrial process manufacturers are reformulating their production methodology to keep up. This new approach introduces a greater variety of products, more frequent changeovers, and shorter production runs. In this demanding environment, process manufacturers need advanced process control strategies to monitor and manage multiple product variations and deliver quality products.
Hitachi’s Advanced Process Control on Google Cloud Platform combines technology, automation and Machine Learning to significantly improve operational efficiency in factories, production lines and manufacturing facilities. This solution brings artificial intelligence to process control monitoring with automated and intelligent statistical process controls (SPCs). By combining Hitachi’s internet of things (IoT) and data science technologies with Google Cloud’s machine learning, Hitachi’s Advanced Process Control manages complex interactions to reduce process variability and improve operational efficiency and product quality.
Why Hitachi and Google Cloud?
Real-world experience gained from over 100 years in the manufacturing industry, over 50 years in IT
Pioneer in IoT with over 15,000 IoT patents
Dedicated IoT data science research lab to drive innovation
Enterprise-scale solutions
Combines data storage, analytics and ML to drive high-accuracy parameter predictions
Advanced ML quickly addresses changes to part specifications
Together, Hitachi and Google Cloud offer a unique advanced process control solution tailored to your manufacturing environment.
Built with Google Cloud
Targeting Desired Operating Conditions
Using big data and advanced analytics visualizations, the solution allows process manufacturers to adjust operations for their ideal operating envelope. It flags status changes in process parameters and supports real-time analysis of variance (ANOVA). As a result, manufacturers can proactively identify the effect of maximum and minimum process parameters on product quality and minimize production issues with sensitive or unstable products. For example, cable manufacturers must tightly control for critical-to-quality parameters such as line speed, zonal temperatures and gas pressures in order to manufacture quality surface finishes and concentricity.
Bring Intelligent Automation to Process Control
Hitachi’s Advanced Process Control on Google Cloud
Challenge
Solution
Benefit
Keep pace with the demand for more varied products while maintaining an optimum production cost
Support a greater variety of products, frequent changeovers, and short production runs
Manage multiple product variations, including product characteristics that are only minimally varied
Monitor processes and product variations that require extra attention from operators
Provides real-time monitoring by ingesting live IoT-enabled production data
Uses a trained Google Cloud Machine Learning model to predict the impact on quality parameters and on the maximum and minimum process parameters on product quality
Delivers advanced analytics and custom visualizations so operators can focus on key metrics, allowing for real-time alerts or adjustment recommendations
Optimize production systems to operate as close to your ideal operating envelope for the many product variations to be manufactured
Improve process efficiency and deliver consistent product quality
Address changes to product parts specifications quickly to reduce costs and increase productivity
Minimize production issues for sensitive or unstable products
Contact Hitachi Consulting
Hitachi Consulting provides consultants, data scientists, engineers and manufacturing specialists to work hand in hand with you and to co-create an advanced process control solution to solve your specific problems.
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