liman-tech
For the CFO

Where the money leaks.

Downtime in dollars, not hours. OEE as a financial metric, not «percent uptime». Energy overconsumption as a separate line item. Equipment-as-a-Service — pay for the result, not the CAPEX.

P&L · per asset · live
Asset-1 / revenue+ $ 24K/hr
Asset-1 / downtime− $ 3.2K
Energy / overrun− $ 870/shift
OEE / Asset-162% → 71%
Pilot ROI · 30 days3.2×
OEE benchmarks

85% is world-class. The average is 55%.

A 30-pp gap means roughly +50% revenue from the same equipment. McKinsey, WEF Lighthouse, Bain — all converge on the same arithmetic. The only question is the toolchain.

85%
World-class — Toyota, Pfizer, Siemens Amberg
40–60%
Industry average across heavy-process manufacturing
14%
Micro-stops — invisible losses
+20%
Revenue uplift per +10 pp of OEE
Two levers on OEE

Two levers — two P&L lines.

OEE = Availability × Performance × Quality. The gap closes in two moves — each with its own line in the P&L.

Lever 1 · Availability
Stop the losses

First — equipment reliability: fewer stops and emergency repairs, revenue stops leaking on downtime. That is the «Availability» multiplier in OEE — and the first recovered line in the P&L.

Defensive money
Lever 2 · Performance & Quality
Earn more

Once the equipment is stable, process optimisation kicks in — APC (advanced process control). The asset runs closer to its process constraints: higher yield and quality at the same cost.

Offensive money

Variability is margin you leave on the table. A stable process oscillates less around its setpoint — so it can run closer to the limit without risk.

Both levers run on one infrastructure: the sensors and data that recovered availability become the foundation for optimisation. One investment, not two.

The step after diagnostics is optimisation. How it works →
OEE as a financial metric
Not «percent uptime» — dollars of revenue

OEE × product price × hours = revenue gap in dollars. See what the plant would yield at world-class 85% versus your current 55%. Per-asset numbers, not «average across the operation».

Downtime in dollars
Where the money actually leaks

Every stop is converted into loss — throughput × price × duration. Pareto by asset and by root cause. Investment decisions on a number, not on a feeling.

Energy overconsumption
A hidden cost — without a separate project

Motor-current-signature analysis (MCSA) shows which motors run outside the optimum. Bearing wear, supply imbalance, rotor unbalance — all of it is electricity you pay above the curve.

Equipment-as-a-Service
Pay-for-result: a share of savings, not CAPEX

Don't buy the system — pay for the savings it delivered. Base fee + share of verified results + cap. Zero risk for the budget. Bain trend: from 11% to 30% by 2030 — already standard in mature industry.

Estimate your savings

APC + predictive ROI calculator

Rough estimate against industry benchmarks. The exact number comes after the APC Pilot — 6–12 weeks to establish baseline and pick the optimization method, no commitment.

Inputs
Estimate
Savings potential
per year, assuming ~8% reduction in unplanned downtime
Service contract base
monthly base. Plus 20% of documented savings, capped at 3–4× base.
How we calculate. Assets × hours × €/hour × 8% = annual savings. Service-contract base ≈ 4% of monthly savings — covers our cost-recovery and long-term support. This is a conversation starter, not an offer; the exact structure is agreed during APC Pilot against the actual baseline.