MRF KPIs

Waste Sorting KPIs and Benchmarks: Recovery, Purity, Uptime, and Labor Targets for MRFs

Typical versus world class ranges for the six KPIs that describe a sorting plant, how to measure each one, and the improvement sequence that actually moves them.

Six KPIs describe a sorting plant completely: recovery rate, bale purity, availability, throughput per labor hour, energy per ton, and residue rate. Everything else is a driver of one of those six. This guide gives typical and world class ranges for each, drawn from single stream MRFs in the 15 to 35 ton per hour class, plus the levers that move them. Measure weekly, trend monthly, and benchmark against plants with similar inbound composition; a facility receiving 25 percent contaminated feed will never post the residue numbers of one receiving 12 percent, and comparing the two teaches nothing except frustration.

Recovery rate, the share of targeted recyclables that end up in a saleable product, runs 80 to 85 percent at a typical plant and 92 to 95 percent at world class facilities using optical sorters with recirculation loops and robotic QC. Measure it from the other side: sample 90 kg of residue weekly and weigh the recoverable material in it. Residue containing 25 percent recoverable PET, aluminum, and fiber means real money on the floor; the best plants keep recoverables in residue below 10 percent. The biggest single lever is burden depth control, since an overloaded optical belt can drop recovery by 10 to 15 points during peak hours.

Purity is what buyers pay for. Typical PET bales run 92 to 94 percent, world class 96 to 98. Aluminum UBC should exceed 98 percent. Mixed paper holds under 3 percent outthrows at strong plants versus 5 to 8 at weak ones. Track it with a weekly bale breakdown audit per commodity and log results in the Contamination Rate calculator so you get a trend line instead of anecdotes. The purity levers ranked by impact: last chance manual QC positioned after the optics, dual pass optical configuration on containers, and film removal early in the process, since film that reaches the container line degrades every downstream sort.

Availability, meaning scheduled hours actually running at rate, sits at 80 to 85 percent for typical plants and 92 to 95 percent for the best. Track it with the Maintenance Downtime calculator split into planned and unplanned categories; world class plants hold unplanned downtime under 3 percent of scheduled time. Two specific benchmarks matter here. First, wrapper and tangler cleanout on screens: typical plants lose 30 to 60 minutes per shift, best in class under 15 with non wrapping screen designs. Second, optical sensor fouling: use the Optical Sorter Sensor Cleaning Interval calculator to set frequency, because ejection accuracy commonly drops 5 to 10 percent when intervals stretch past 8 running hours in dusty fiber applications.

Throughput per labor hour separates plant generations. Legacy manual plants process 0.5 to 0.8 tons per labor hour, modernized lines with optics run 1.0 to 1.5, and highly automated facilities exceed 2.0. On the pick line itself, a typical human sorter sustains 30 to 40 picks per minute, top performers reach 45 to 50, and sorting robots run 60 to 80 with better than 90 percent accuracy on well presented material. Use the Pick Line Labor calculator to convert station counts and pick rates into tons per labor hour, then benchmark quarterly. The sequence that works: stabilize burden depth first, automate the highest volume commodity second, and redeploy people to QC rather than cutting heads immediately.

Energy intensity runs 8 to 15 kWh per ton at typical plants; under 8 is world class and under 6 has been demonstrated with full VFD conveyance and demand controlled air. The Sort Line Conveyor Energy and Air Separator Energy calculators break the load into addressable pieces; air handling and conveyance together usually account for 60 to 70 percent of plant draw. Alongside energy, track separation performance: screen efficiency of 80 to 85 percent is typical, while well maintained and correctly loaded screens hold above 90 percent, measurable monthly with the Screen Efficiency calculator. A screen slipping from 90 to 80 percent pushes misplaced material to every downstream sorter and quietly inflates both residue and labor.

Improve in this order. First availability, because a point of uptime is pure throughput with no quality tradeoff; moving from 80 to 88 percent availability adds roughly 10 percent annual tons. Second recovery, since material already paid for should leave as product, not residue. Third purity, which raises price per ton rather than tons. Fourth labor productivity and energy, which compound the earlier gains. Set a review cadence: daily downtime huddle, weekly contamination and recovery audits, monthly full scorecard against the ranges above. Plants that run this cadence for 12 months typically move two of the six KPIs from the typical band into the top quartile; plants that only measure annually move none.

Published 2026-07-02.