Industries and plant types

The collaboration is aligned with real operator requirements in MRF, LVP, and MSW environments. Differences in material characteristics and plant logic are built into the approach.

Stacked PET bales as output from sorting and processing operations

MRF - Material Recovery Facility

Typical tasks: Improve purity and recovery in paper/cardboard, plastics (PET, PE, PP, films), and metals (aluminum, ferrous), reduce misthrows, and stabilize NIR-based sorting logic across shifts.

KPI focus: Purity, recovery, throughput, reject rate, misthrow share.

Operational approach: Material flow analysis, assessment of critical NIR sorting steps, and testing/standardizing stable operating settings.

LVP - Lightweight Packaging

Typical tasks: Improve yield and sorting quality of PET (clear/colored), PE (HD/LD), PP, polyolefins, beverage cartons, aluminum, and composites with variable input quality.

KPI focus: Yield by fraction, purity, recovery, recirculation share, availability.

Operational approach: Identify loss drivers along the NIR sorting chain, apply data- and AI-assisted stream analysis, prioritize high-impact actions, and train shift teams.

MSW - Municipal Solid Waste

Typical tasks: Manage highly heterogeneous input (organics, plastics, metals, paper), reduce disruptions, and build robust parameter sets for continuous NIR-based sorting.

KPI focus: Availability, throughput, process stability, unplanned downtime, disturbance rate.

Operational approach: Bottleneck and disturbance analysis, review of interactions between mechanical pre-treatment and NIR sorting, and stabilization of critical phases.

Other NIR-Based Sorting Applications

Typical applications: NIR-based sorting of industrial waste, wood sorting (waste wood A1-A4, chipboard, MDF), construction and demolition waste, production residues, and mixed commercial waste with variable material composition.

KPI focus: Separation quality, sorting accuracy, throughput, misclassification rate, and plant availability.

Operational approach: Evaluate NIR recognition logic for specific material classes (for example wood types, plastics, and contaminants), align sensorics, mechanics, and process parameters, and stabilize sorting performance under varying input quality.

Why operator focus is decisive

What matters is not one component in isolation, but how the full line performs in daily operation.
Acceptance and contractual realities require traceable measurements and robust documentation.
System thinking reveals root causes and avoids isolated actions with weak total impact.
Even small efficiency gains are economically relevant if they stay stable and reproducible.

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Share plant type, key fractions, and your core issue. You receive a clear first assessment of the best path forward.

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