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HOPPER - the online quality optimizer for scrap reduction is powered by plus10

plus 10 is a Fraunhofer Spinoff that develops and delivers live learning optimization tools for complex fully automated assembly, production lines and injection molding machines. We are world-wide unique in the field of live learning systems for Healthcare / Pharma / Medtech production (fully GMP compliant) but also present in other industries like Automotive, Electronics and Consumer goods. Our tools are used for root-cause detection, trouble-shooting, knowledge transfer and quality optimization – leading to +10% OEE.

Why Hopper - Continuous Parameter Optimization to Reduce Scrap?

Hopper was developed to address a fundamental challenge in modern manufacturing: inefficiency caused by changing raw material properties and a shortage of skilled workers. Our solution supports Plant Managers, COOs and Injection Molding Engineers who struggle with high scrap rates, long ramp-up times, and inconsistent productivity across shifts. Instead of relying on manual “trial & error,” Hopper provides situational recommendations for specific parameter adjustments for machine and temperature control units - based on a virtually learned ideal process and respecting validating windows. This ensures consistent quality, reduces scrap, shortens ramp-up times, and boosts overall efficiency—especially with complex molds.
Your tangible benefits: more good parts per hour, faster setup, and sustainable production efficiency. Hopper enables scalable process knowledge and empowers teams to operate at expert level—regardless of shift or experience.

Hopper app giving situational recommendation

Benefits

  • Reduction of varying scrap rates and cycle times. plus10 Hopper generates situational suggestions for specific parameter adjustment for machine + temperature control units​
  • Situational reaction to raw material batch variations e.g. due to different drying, temperature, viscosity change, with recyclates (PCR) or different batches​​​
  • Simplification of multi-machine operation by real-time suggestions for all connected machines​​
  • Situational adjustments to set parameter for complex molds – within validated windows​​

Featured Capabilities

Real-World Applications

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graph comparing original and optimized process

Hopper: Elastomer Injection Molding at Freudenberg

+17% output with Hopper
“plus10 has provided practical proof with its continuous learning Hopper technology on several injection molding machines that significant production increases in elastomer processing are also possible in reality." ​
​Reinfried Wobbe ​
Freudenberg Sealing Technologies​

Frequently Asked Questions

Explore Resources and Related Products

Prerequisites

Raw material characteristics per batch e.g. density, viscosity

Product environment, e.g. ambient temperature + humidity

Machine type + configuaration, e.g. electric, hybrid/hydraulic

Process data (actual + set parameter), e.g. injection pressure/velocity curves

peripheral devices e.g. hot/cold-runner type, temperature device

Feedback for product quality, e.g. geometric + surface features, weight

Product specification, e.g. allowed process parameter boundaries

Mapping between each of the above-mentioned data sources

Connectivity: encrypted outbound traffic to cloud backend via HTTPS

Siemens Industrial Edge Device installed in machine network with plus10 app