Aggregate and Bulk Handling KPIs: Benchmarks and How to Measure Them
The KPIs that move a crushing and screening plant: how to measure each one, the levers that close the gap, and which figures have a cited source.
Use these benchmarks as reference points for spotting a gap worth investigating, not as targets. Rock, circuit design and markets differ from plant to plant, so your own trend, measured the same way every month, says more than any single published figure.
Every figure shows its basis. A superscript number links to a public source in the Sources list, and the sentence gives that source's context. A figure marked no cited source is kept as originally published because no public source stating it has been verified, so treat it as illustrative.
At a glance
Aggregate and bulk handling KPI benchmarks at a glance
Words in parentheses are the original guide's or the source's own labels. The availability references are cross-industry, not aggregate-plant surveys2, 1. The DOE row is an engineering model estimate from 2000, not a measured fleet average4.
Method: How the figures in this guide are sourced
A figure with a superscript number is stated by the cited source, listed under Sources with its publisher, location in the document and access date. A figure marked no cited source is kept exactly as originally published because no public source stating it has been verified. It is illustrative, not measured industry data. Worked examples show arithmetic only and are not benchmarks.
Mechanical availability
Mechanical availability is the headline KPI: run time divided by scheduled time. World-class fixed plants sustain 90 to 95 percent2, 3, a band bracketed by two cross-industry references rather than an aggregate survey. The TPM world-class availability factor is above 90 percent2, and DOE's federal O&M guide sets equipment availability above 95 percent as its benchmark3.
Typical operations sit at 78 to 85 percent1. For comparison, average availability across Swedish manufacturers, with data from 2006 to 2012, was 78.9 percent, at the bottom of that band1. Portable spreads often live below 75 percent no cited source.
The gap is usually unplanned crusher and conveyor stops. Chasing availability past 92 percent almost always means solving conveyor and chute plugging first no cited source.
For example, a plant at 85 percent availability with 20 short stops per shift has a different fix (feed control, blockages) than one with 2 long stops (component reliability).
How to measure
Divide run time by scheduled time.
Track mean time between failures and mean time to repair separately.
Count stops per shift as well as hours lost.
What moves it
Feed control and blockage clearing, for many short stops.
Overall throughput utilization compares actual tons per productive hour against demonstrated plant capacity. World-class is 88 to 94 percent no cited source.
For example, a plant capable of 500 t/h that averages 380 t/h runs 76 percent utilization.
The common thief is starving and surging. A variable-speed feeder holding within plus or minus 5 percent of target lifts utilization several points no cited source.
For example, an unlevel feed swinging between 300 and 600 t/h averages low and trips overloads.
How to measure
Divide actual tons per productive hour by demonstrated capacity.
Use demonstrated capacity, not an optimistic nameplate.
Screen efficiency benchmarks at 90 to 95 percent for a well-set single deck no cited source and 85 to 92 percent for stacked decks no cited source. Below 80 percent you are sending saleable product to the wrong pile no cited source.
Wet sticky sub-3 percent moisture feed blinds panels fast no cited source. A spray bar or heated deck can recover 5 to 10 points no cited source.
How to measure
Sieve samples of the feed, oversize, and product streams.
Calculate efficiency from those sieve results, not by eye.
Report it per deck.
What moves it
Stroke and speed matched to aperture.
Correct deck angle, usually 18 to 25 degrees for inclined screens no cited source.
Bed depth under 4 times aperture at discharge no cited source.
Yield, the saleable fraction of feed, is the KPI that pays. Good hard-rock plants convert 88 to 94 percent of feed to saleable product no cited source; poorly balanced circuits drop to 70 to 80 percent as excess fines no cited source.
Benchmark each product size against its market demand, not just total yield.
For example, making 96 percent yield of a size nobody buys is worse than 85 percent of the right split.
How to measure
Divide on-spec product by total feed.
Report yield for each product size as well as in total.
Compare each size's output with its market demand.
What moves it
Crusher setting.
A tertiary stage.
Blending to shift the gradation.
Quantify the split with the Aggregate Yield calculator, so you can target the crusher setting that maximizes value, not tonnage.
Energy per ton
Energy per ton benchmarks by product coarseness. Primary and secondary crushing to coarse aggregate runs 0.5 to 1.5 kWh/t no cited source; full circuits producing manufactured sand reach 3 to 6 kWh/t no cited source.
DOE's engineering model of a 6,000 ton-per-day limestone plant puts secondary crushing at about 995 Btu per ton and tertiary crushing at about 1,660 Btu per ton, together roughly 0.8 kWh per short ton4. Screening and conveying add about 500 Btu per ton more4. These are model estimates dated May 2000, not measured plant data.
Track kWh per saleable ton and trend it. A rising number signals dull wear parts or a tightening feed before it shows in production.
How to measure
Divide metered kWh by saleable tons, not by feed tons.
Trend it weekly per circuit.
Split crushing, screening and conveying where meters allow.
What moves it
Choke-fed crushers.
Staged reduction, so no single machine takes too high a ratio.
Early fines removal, so you do not re-crush material that is already at size.
Wear part condition.
Bulk density and load accuracy
Bulk density and load accuracy underpin every silo and truck KPI. Hold silos to a target 95 percent of geometric capacity no cited source and trucks to 99 percent of legal payload no cited source. World-class loadout hits within 1 percent of target payload no cited source.
For example, a silo run at 92 percent of geometric capacity, or trucks loaded to 96 percent of legal payload, quietly cost throughput and freight efficiency. Likewise, a 5 percent density drift silently misreports inventory by hundreds of tons.
How to measure
Reconcile geometric volume against actual weighed mass.
Compare every loaded truck with its target payload.
Recheck measured density when material or moisture changes.
What moves it
Consistent measured density.
Recalibration after material or moisture changes.
Conveyor loading and spillage
Conveyor and transport KPIs center on loading and belt utilization. Belts running at 60 to 70 percent of rated cross-sectional load waste capital and energy no cited source; well-balanced systems sit at 80 to 90 percent, leaving surge headroom no cited source.
Spillage and carryback below 0.1 percent of throughput is world-class no cited source. Poorly maintained systems lose 0.5 percent or more to spillage and cleanup labor no cited source.
How to measure
Compare running mass on the belt with its rated cross-sectional load.
Check running mass against idler and drive ratings.
Weigh or estimate spillage and carryback as a share of throughput.
What moves it
Feed rate set to keep the belt in the efficient band without tripping on surges.
Blending and homogeneity matter wherever spec consistency is sold. For blended products, the coefficient of variation (CV) of the key parameter should sit under 3 to 5 percent for a good bed-blending or in-line system no cited source, versus 8 to 12 percent for naive stockpiling no cited source.
How to measure
Sample the discharge stream over a run.
Compute the standard deviation of the key parameter over its mean.
Size the mix cycle to hit the target CV.
What moves it
More layers in a chevron stack.
Reclaim across the full bed face.
Steady feed, which trades a little time for tighter, saleable consistency.
How to build your own baseline
Write down each KPI's definition and denominator, and keep them fixed.
Measure capacity from demonstrated output, not nameplate.
Collect several months of data per circuit before you set a target.
Compare against your own trend first and published ranges second.
Record what changed in the plant whenever a KPI moves.
Anatomization of the overall equipment effectiveness (OEE) for various machines in a tool and die shop. Journal of Intelligent Manufacturing and Special Equipment, Vol. 3 No. 1, pp. 97-105 (Emerald, CC BY 4.0), DOI 10.1108/JIMSE-01-2022-0004. published 2022. p. 101 (PDF p. 5): sentence "Seiichi Nakajima included the above four “world-class” numbers." and Table 1 "The world-class OEE factor"; p. 103 (PDF p. 7): "worldwide threshold of >85% set by the Japan Institute of Plant Maintenance (JIPM)". Accessed September 30, 2026.