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 

Flat glass

Fiber & wool glass

Press & blown glass

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
HOW WE DO ITGET A DEMO

"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

Reducing quality, energy & throughput losses with automated root cause analysis