Input variation
Raw material properties, recycled content and environmental conditions change how extrusion and compounding lines respond.
Industries
Predictive optimization for extrusion and compounding
jora.twin is built for manufacturers who operate complex, high-throughput plastics processing lines and need to reduce waste, stabilize quality and support their teams under increasing cost and sustainability pressure.
The plastics value chain
Circular value chain: Compounding to Extrusion to Recycling and back to Compounding. Recycling offering coming soon.
01
Compounding
02
Extrusion
Recycling
COMING SOON
jora.twin
Predictive process intelligence
The cost of variation
Small deviations become large annual costs.
A few percent of avoidable material, a conservative safety margin or repeated start-up adjustments may look small in one shift. Across a high-throughput line and a full year, they become a material cost, quality and sustainability problem.
Long process delays
The quality impact of an upstream change may only become visible much later downstream.
Coupled equipment
An adjustment at one stage changes the operating point of the stages that follow.
Delayed quality feedback
Lab results and end-of-line measurements often arrive after additional material has already been produced.
The whole-line perspective
Optimize the full process chain, not just individual machines.
Local controllers are essential, but they optimize individual variables and machines. jora.twin models how changes propagate through the complete line so the recommended response reflects the product outcome, not only a local set point.
Explore jora.twin →jora.twin connects information from feedstock, processing and downstream quality across the complete line.
jora.twin
Whole-line intelligence · Product outcome
Feedstock
Input variation
Processing
Coupled equipment
Quality
Delayed feedback
One intelligence layer connects upstream conditions with downstream quality.
Production fit
Is jora.twin a fit for your production?
Not sure? The free data pre-check is designed to answer this question.
A good starting point
- You operate a continuous or semi-continuous extrusion or compounding line.
- Critical quality properties are influenced by multiple upstream variables.
- The line records historical process data and ideally some quality reference data.
- Variation, scrap, material safety margins or start-up time create measurable cost.
- A process owner and operational team can support a focused pilot.
01 / Extrusion
Achieve tighter tolerances with less material.
Keep wall thickness, meter weight, film thickness and profile dimensions closer to target with less scrap and less material overweight. Reduce trial-and-error during start-ups and grade changes by using learned line behavior.
PipesProfilesFilms
Discuss your extrusion line →Schematic extrusion line: material passes through an extruder, die and cooling stage to form a dimensionally consistent product. jora.twin optimizes dimensions, material use and energy.
TIGHTER TOLERANCES. LESS MATERIAL.
Extrusion
Die
Cooling
Product
jora.twin
Dimensions · Material · Energy
Predictive optimization across the extrusion process.
02 / Compounding
Stable compound quality, even when feedstock varies.
Predict how feedstock, recycled content and process conditions affect compound properties, then adapt controllable set points before off-spec output accumulates. Balance quality, throughput and energy rather than optimizing in isolation.
Discuss your compounding line →Schematic compounding process: variable feedstock enters coupled processing stages to produce consistent compound quality.
VARIABLE INPUT. STABLE OUTPUT.
Feedstock
Compounding
Compound
jora.twin
Quality · Throughput · Energy
Predictive optimization across the compounding process.
Coming soon
Recycling
Build the foundation for more predictable operation when input streams and recovered-material properties vary.
Production impact
Save up to 10% of production cost
Lower process variance, fewer quality deviations, reduced material margins and faster operator responses all contribute to a more efficient production line.
annual savings
Up to €150,000
For a mid-sized extrusion line, these effects can lead to potential savings of up to €150,000 per year. The actual impact depends on throughput, material costs, scrap rates, quality losses and the improvement potential validated during the pilot.
Explore the Savings Calculator →How process improvements reduce cost
Up to 10 percent lower production costs through reduced operator burden, 60 percent lower process variance, faster response to anomalies and reduced energy consumption. Lower process variance supports 80 percent fewer quality deviations, 3 to 6 percent lower meter weight and 5 to 10 percent higher line speed. These percentages are not additive cost savings.
Up to 10%
lower production costs
Reduce the
operator’s burden
− 60%
Process variance
Minimize reaction time
to anomalies
Reduce energy
consumption
− 80%
Quality deviations
− 3–6%
Meter weight
+ 5–10%
Line speed
Combined potential
Up to 10% lower production costs
Reduce the operator’s burden
Reduce process variance by 60%
Lower process variance supports:
- 80% fewer quality deviations
- 3–6% lower meter weight
- 5–10% higher line speed
Minimize reaction time to anomalies
Reduce energy consumption
Typical saving ranges from previous projects. Actual results depend on the production line and are validated during the pilot.
Find your sweet spot
Is your production line already operating within its sweet spot?
Let’s find out together in a free data pre-check.
