A continuous float ribbon must be cut into customer orders while working around defects already found upstream. INSUS evaluates feasible cutting patterns against defects, order requirements and downstream capacity so the line can cut with less avoidable waste. Operators and the existing cutting system stay in control.
01
Patterns scored around detected defects.
02
Orders matched to available ribbon.
03
Recommendations stay with the cutting team.
The problem
Float glass is cut into orders while the ribbon is moving. Decisions must account for defects already mapped on the ribbon, order size and quality rules, and downstream loading. Simplified cutting rules can look reasonable locally while leaving better combinations, and usable glass, unused.
The shift
Cutting teams stay responsible for what is committed on the line. What changes is whether each upcoming ribbon section is scored against a wider set of feasible patterns before the cut.
Today
With INSUS
How it works
This fits OptiStudio as operational decision support beside existing inspection, order and cutting systems. Day one is advisory: recommendations do not automatically drive the cutter.
Connect
Read-only links to online defect locations and severity, active order specs and quantities, and available downstream loader or handling capacity.
Understand
Evaluate which orders can be fulfilled from each upcoming ribbon section given detected defects and available glass quality.
Predict
Score candidate patterns for expected utilization and waste before a cutting decision is committed.
Advise
Rank feasible patterns and order sequences by expected yield, defects, orders and downstream capacity for the cutting team to review and apply.
Verify
Compare recommendations with measured utilization and waste, then refine against this line's equipment, defect profile and order mix.
Getting started
For continuous flat-glass lines with online defect inspection and order data. Delivered through OptiStudio as advisory cutting decision support. Expert Services can help with discovery and validation beside existing cutting logic. No new sensors are assumed where inspection and order systems already exist.
Related for glass
Cutting yield sits beside furnace energy and defect root-cause analytics on the same float line.
Simplified cutting rules can waste usable glass when defects, orders and downstream capacity interact. This use case ranks feasible patterns for each ribbon section so the team can cut closer to the best achievable yield.
Defect locations and severity from the existing online inspection system, active order specifications and quantities, and relevant downstream loader or handling capacity.
No. The pilot uses defect information from inspection systems already on modern float lines, plus existing order-management data.
No. Day one is decision support beside existing inspection, order and cutting infrastructure. The team remains responsible for applying the pattern.
Not as scoped. Continuous ribbon cutting has tight timing. Any faster or more automated application should be validated deliberately during the pilot, not assumed on day one.
Yes. Recommendations can be recalculated as new defect information changes the feasible options for upcoming sections.
Through OptiStudio as operational decision support for cutting yield. Expert Services can support discovery, data readiness and validation against the line's own utilization and waste baseline.
Glass · Cutting & yield
Use defect and order data you already keep to review lower-waste cutting patterns before each decision. Start with one line and measure against your own utilization and waste history.
