Cross-Site Benchmarking
Every gap is measured against the best actual performer in the portfolio, not a target — because "another one of our own sites already does this" is the benchmark no operation can argue with.
Cross-Site Fleet & Component Cohort Survival Learning
Pools Weibull (β, η) survival curves across identical OEM classes across all sites to recalibrate sister assets whose local RUL is optimistic relative to fleet wear-out evidence.
Value of closing every gap
A$0
Per year, if each site matched the portfolio's own best
Setting the standard
Muswellbrook
Composite 100/100
Performance spread
0 pts
Muswellbrook to Bengalla Mine (Hunter Valley)
Operations compared
2
Normalised on a common basis
Site scorecards
Muswellbrook
40 fixed assets · 0 fleet units · 0 stages
100
/100
Cost per tonne
—
Constraint
—
Bengalla Mine (Hunter Valley)
0 fixed assets · 31 fleet units · 8 stages
100
/100
Cost per tonne
A$0.79
Constraint
—
4.49Mt forgone to fleet availability gaps
What closing each gap is worth
No closable gaps found
Every site is performing at the portfolio benchmark.
Metric by metric
Fleet cost per tonne
Best 0.79 $/t · Bengalla Mine (Hunter Valley)
Fleet availability
Best 86% · Bengalla Mine (Hunter Valley)
Fixed plant health
Best 78 /100 · Muswellbrook
Assets at high risk
Best 28% · Muswellbrook