Track Quarry Productivity KPIs: Output and Tons per Hour
Measure saleable tons per shift and tons per operating hour for each crusher, screen, and production line. Record feed tonnage, product size, and yield by material type, then compare the results with targets and previous shifts. Use calibrated belt scales and consistent shift start and end times to keep comparisons reliable.
If output drops, check feed gradation and moisture, equipment settings, and changeover time. These factors can restrict throughput or reduce saleable yield. Connect production results to blast performance: fragmentation affects crusher throughput and the sizing work required downstream. Track saleable product, not just raw feed, and confirm that production stays within site safety procedures.
These measures help pinpoint where operating changes can improve output. Before inspecting or adjusting equipment, follow lockout/tagout procedures and verify that it’s safe to work.
Measure Equipment Availability and Downtime
Track equipment availability separately from operating performance so you can see where production time is being lost. For each asset, record scheduled hours, operating hours, and downtime. Calculate availability by dividing operating hours by scheduled hours.
Use consistent downtime codes for mechanical failure, planned service, changeover, and waiting for feed. Compare loaders, crushers, screens, and conveyors across shifts to spot bottlenecks and recurring failures. Check downtime entries against control-system logs and operator reports; mismatched records can hide the real cause of lost time.
Use maintenance records to connect failures with service intervals and help prioritize repairs. During inspections or maintenance, follow site procedures, isolate equipment, and verify lockout before work begins.
Track safety compliance separately: required inspections and safe lockouts aren’t avoidable downtime. Review the trends weekly and assign clear follow-up actions.
Monitor Fuel and Energy Use per Ton
Track fuel and energy use per ton by dividing each machine’s fuel or electricity consumption by the tons it processes over the same period. Record fuel use for loaders, haul trucks, crushers, and generators. For electric equipment, record kilowatt-hours.
Compare gallons per ton or kilowatt-hours per ton across shifts and operating conditions.
Account for material moved and production hours. Otherwise, higher throughput can make energy use look worse—or lower throughput can hide a problem. Review changes alongside equipment settings, idle time, haul distance, and maintenance records.
A rising energy-per-ton figure can point to underloaded motors, excessive idling, inefficient haul routes, or changing operating conditions.
Set a baseline for your site and investigate meaningful deviations. Check the data before changing operating practices, then track the same measure to see whether corrective actions reduce energy use per ton.
When inspecting equipment or carrying out maintenance, follow site lockout and isolation procedures; never work on energized or moving equipment.
Check Product Quality, Specifications, and Yield
Energy efficiency matters only when the quarry produces saleable material that meets customer specifications. Track gradation, oversize, fines, moisture, and contamination in each product stream, and compare test results with the applicable limits.
Calculate yield as the share of feed converted into compliant products, and record rejects and rework by shift.
If results drift, check crusher settings, screen condition, feed consistency, and material handling. Segregation and spillage can affect product quality, so inspect transfer points and stockpiles as well.
Follow site safety procedures, isolate equipment before inspection or maintenance, and never reach into moving machinery.
Use consistent sampling methods and calibrated equipment, then confirm trends with laboratory tests rather than visual estimates alone. These measures help protect customer confidence, reduce wasted material, and limit the environmental impact of unnecessary processing and disposal.
Calculate Cost per Ton and Production Capacity
To calculate cost per ton, divide total operating costs by the tons of saleable product produced over the same period. Include labor, fuel, power, maintenance, and consumables. Separate fixed costs from costs that rise with production so you can see what’s driving the result.
Account for inventory changes: material produced but not sold or stockpiled shouldn’t be treated as saleable output for the period.
Compare cost per ton by shift, product, and reporting period, and check the figures against downtime and production records. Higher output can lower unit costs when fixed expenses are spread across more saleable tons, but only if added production doesn’t bring disproportionate fuel, wear, labor, or rehandling costs.
For capacity planning, compare actual throughput with the plant’s rated capacity, using production records from the crusher, screens, and haulage fleet. Rated capacity is a reference, not a guarantee of what the whole operation can sustain.
Track where material backs up, where equipment sits idle, and how feed conditions, product specifications, and downtime affect output. Use those findings to set realistic production targets, plan maintenance, and prioritize upgrades that increase saleable tons without compromising product quality or safe operation.
Before inspecting or maintaining equipment, isolate it, apply lockout/tagout procedures, and follow site safety requirements.
Conclusion
Track output per operating hour, equipment availability, fuel use per ton, product yield, and cost per ton together. One KPI rarely tells the full story. If crusher downtime increases while fuel use per ton climbs, check the feed, wear parts, and operating conditions before the next shift. Follow your site’s lockout/tagout procedures and never inspect or service equipment until it is safely isolated. Record the findings, make one targeted adjustment at a time, and compare the results with your baseline. Regular KPI reviews with operators and maintenance staff can help catch losses early, protect product quality, and guide capacity decisions with production data rather than assumptions.
