Glass

Predict & preventquality, energy and throughput losses

Using Artificial Intelligence

Using Artificial Intelligence

Examples of process-driven losses we solve for glass manufacturers

Glass manufacturers face many process-driven losses.Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes.

Examples of process-driven losses we solve for glass manufacturers

Glass manufacturers face many process-driven losses.Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes.

Container glass manufacturing

Container glass manufacturing

Slide Reduce the BTU per ton & kWh per ton Reduce rejects due to critical dimensions Increase production rate while maintaining quality Reduce rejects due to shape Reduce rejects due to checks Yield & quality

Slide Optimize process based on ambient conditions (temperature and humidity) Stabilize working end temperature Fabricating efficiency
Optimize process based on raw
materials variability
Stabilize forehearth temperatures Energy & throughput

Flat glass manufacturing

Flat glass manufacturing

Slide Reduce the BTU per ton & KWh per ton Reduce rejects due to critical dimensions Increase production rate while maintaining quality Reduce rejects due to shape Reduce rejects due to checks Yield & quality

Slide Increase fabricating efficiency Optimize process based on raw materials variability Stabilize working end temperature Optimize process based on ambient conditions Stabilize furnace temperature Stabilize forehearth temperatures Energy & throughput

Fiber & wool glass manufacturing

Fiber & wool glass manufacturing

Slide Reduce the Energy per ton Optimize flatness Prevent bubbles and other glass melting defects Yield & quality

Slide Optimize process based on raw materials variability Optimize process based on ambient conditions Stabilize tin bath operation Energy & throughput

Press & blown glass manufacturing

Press & blown glass manufacturing

Slide Reduce reject due to dimension Optimize quality parameters Reduce reject due to checks Reduce bubbles and other glass melting defects Increase product consistency Reduce bulk density Increase production rate while maintaining quality Reduce fiber breaks per hour / weight Yield & quality

Slide Stabilize fiber diameter Optimize process based on raw materials variability Optimize process based on ambient conditions Energy & throughput

"Using Seebo has put us on the path of achieving significant financial benefits, by reducing the process inefficiencies causing yield and quality losses.”

Jim Martin, Global Operational Excellence Manager, Allnex

Seebo in action

Improving chemical production quality and yield by minimizing process inefficiencies