Revolutionizing Ceramic Manufacturing with KAIZEN
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Kale Ceramic Case Study
Optimizing energy use in Kale Ceramics manufacturing.
Ceramics manufacturing is an energy-heavy industry, with natural gas use makes up for the majority of expenses. Making efficient use of this resource is critical, not only for the companies bottom line, but also to reduce the carbon footprint of the industry.
Data Analysis: Analyzing 12 months of factory sensor data from various production lines revealed significant mismatches between desired system parameters and actual readings, leading to up to 15% increased energy usage during certain periods.
Our models were deployed in the cloud according to the needs of the customer. Integration with the customer’s existing data infrastructure was performed through an automated process.
Our work process
At KAIZEN, we follow a systematic process to deliver optimized AI solutions for our manufacturing clients. Our work takes place across four key phases:
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Experienced data science team
Experience in data science and advanced machine learning algorithms.
Saved millions of
KAIZEN’s AI solutions deliver multimillion dollar cost savings for manufacturers.
Quick setup with your existing data
KAIZEN seamlessly integrates with existing historian data, control systems, and sensors.
Ongoing performance improvements
KAIZEN continually monitors solution performance and fine-tunes models over time.
With our experience
Data Points Analyzed