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Equipment failure costs more than the repair invoice. A credible estimate may include lost production, restoration work, off-spec output, restart effects, customer impact, and damage that shortens an asset’s life. The right number is specific to the plant, asset, failure, and accounting method—not a universal hourly downtime rate.
What does equipment failure really cost?
Start by defining which costs you are counting. Reliability assessment author Daniel T. Daley separates direct costs, such as lost production value and repair work, from indirect effects. Those can include the value of an unavailable asset, off-spec product during degradation, shutdown and restart energy, reactive staffing, and business lost through missed deliveries or poor quality. Daley’s reliability assessment offers a useful framework, though its publication date is not established here.
For a facility-level estimate, organize costs into categories and include only those supported by the event record:
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- Production impact: lost contribution or output value during downtime, constrained throughput, recovery time, and backlog effects. State whether the calculation uses contribution margin, another measure of value, or gross sales; gross sales are not the same as profit.
- Repair and restoration: maintenance labor, overtime, contractor callout, parts, freight, rentals, and commissioning.
- Quality and materials: scrap, rework, off-spec output, disposal, and investigation.
- Restart and operating effects: startup energy, cleaning, process stabilization, and disruption to dependent equipment or process steps.
- Organization and customers: reactive staffing capacity, missed delivery commitments, expedited shipping, penalties, and credible lost-business effects.
- Asset life and capital: premature replacement or secondary damage when the evidence supports linking it to the failure.
These categories are not a checklist of costs every outage incurs. Avoid double-counting: if lost production is valued as contribution margin, do not add the same lost sales value again under customer or business loss.
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Why published downtime figures are not a plant rate
Published estimates can show the scale of the issue, but they use different samples and assumptions. They should not replace a calculation based on your production, maintenance, and customer records.
| Figure | What it represents | How to use it |
|---|---|---|
| Close to $125,000 per hour | ABB’s July 2023 release reported a typical-business downtime estimate from a Sapio Research survey of 3,215 plant maintenance decision-makers across global industrial sectors. ABB also said more than two-thirds of respondents experienced unplanned outages at least monthly. ABB’s survey summary | A survey estimate, not a universal rate or a measured cost for your site. |
| $108,000 average estimated cost of unplanned downtime | A figure described in a March 1, 2023 Plant Engineering article covering maintenance software survey responses. Plant Engineering’s coverage | Keep the attribution. The available coverage does not establish that its population or methodology is directly comparable with ABB’s. |
| $195,000 annual savings | A U.S. Department of Energy newsletter scenario assumes one hour of unscheduled downtime weekly at $5,000 per hour, reduced to 15 minutes. The arithmetic yields $195,000 annually. DOE’s January/February 2001 example | An illustrative calculation, not measured savings at a named plant or a current recommended downtime rate. |
ABB’s Virve Viitanen used an eight-hour hypothetical outage to illustrate the survey figure: “There’s no typical length for an outage, but consider one that lasts a working day of eight hours – based on the median hourly rate, it would cost a business one million dollars. With this in mind, industrial businesses should aim to progress from a high-risk run-to-fail maintenance approach to a long-term outcome-based strategy.” The million-dollar example is the speaker’s illustration based on the survey estimate, not a universal measured loss. ABB’s release
How to calculate downtime cost for your plant
Build an event-level estimate from records, make assumptions visible, and keep direct costs distinct from less certain effects.
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware match- Define the event. Identify the asset and failure mode; record downtime start and end, the lost-production window, and when operation returned to a stable state.
- Collect site records. Bring together work orders, downtime logs, production and quality records, overtime and contractor invoices, parts and freight data, energy or restart records, and evidence of customer impact.
- Calculate direct costs consistently. Separate lost contribution from gross sales. State whether the estimate includes opportunity cost, backlog recovery, or spare capacity.
- Add indirect costs selectively. Include them only when the causal link is credible and documented. Record assumptions and check for overlap with production-loss figures.
- Compare events and failure modes. Look at recurrence, consequence, detectability, and the cost of intervention rather than prioritizing by a dramatic anecdote alone.
- Set a conservative improvement case. Estimate the expected benefit of a maintenance change using site data, then track actual costs and outcomes after implementation.
DOE’s CMMS article provides examples of calculations for downtime, product loss, energy, and staffing, and describes how a well-implemented system can support scheduled work and flag overlooked or repeatedly failing equipment. Its historical scenario figures need to be replaced with current site assumptions before they inform a business case. DOE’s CMMS article
What costs are easy to miss after a failure?
Quality loss during degradation and restart
A machine may continue running while producing off-spec output, so the cost boundary should not begin only when the asset stops. After repair, stabilization, cleaning, or process adjustments may also consume time and materials. Use quality and operating records to determine what occurred rather than assuming every failure creates scrap or a lengthy restart.
Reactive staffing and logistics
Urgent work can require overtime, contractor callouts, expedited parts freight, or rental equipment. These are often easier to document than lost business: use invoices, time records, and purchase data where available.
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Customer and backlog consequences
Missed deliveries, penalties, expedited shipping, and credible lost-business effects may matter, but count them only when supported by customer or commercial evidence. If the production-loss figure already reflects the same economic impact, do not count it again.
Secondary damage and asset life
A failure may damage connected equipment or lead to premature replacement, but attribution matters. Include these effects only when maintenance or engineering records support a causal link; otherwise, keep them outside the event’s quantified total.
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Which maintenance response fits the failure risk?
No maintenance approach is best for every asset. Compare the failure consequence and criticality with the failure mode’s probability and detectability, parts lead time, available labor and diagnostic capability, monitoring or scheduled-work cost, and the risk of unnecessary intervention.
| Approach | Basis for intervention | Trade-offs to weigh |
|---|---|---|
| Reactive or run-to-failure | Work begins after failure. | Can defer planned labor and spending, but exposes the operation to unplanned downtime, overtime, more extensive repairs, parts needs, secondary damage, inefficient use of staff, and potentially shorter equipment life. DOE O&M guide |
| Preventive | Tasks are scheduled by calendar time or machine run time to detect, preclude, or mitigate degradation. | Can extend useful life and reduce some failures, but scheduled work consumes labor, may happen before it is needed, and cannot eliminate catastrophic failures. DOE O&M guide |
| Predictive | Measurements of actual condition guide intervention before substantial physical deterioration. | Can align work with observed condition, but requires suitable diagnostic equipment, trained staff, and program commitment. Match the measurement to the asset and failure mode; no single sensor predicts every failure. DOE O&M guide |
| Reliability-centered maintenance | A strategy for selecting maintenance tasks around equipment function and failure consequences. | The DOE guide names this as an approach; select tasks in light of the site’s functions, consequences, and capabilities rather than assuming one task set fits every asset. DOE O&M guide |
Reactive maintenance may appear cheaper when planned spending is the only cost considered. The relevant comparison is the expected consequence of failure against the cost and consequences of the intervention—including unnecessary work—not simply the repair invoice versus a maintenance budget.
Where CMMS and EAM tools fit
A computerized maintenance management system (CMMS) or enterprise asset management (EAM) tool can help organize work orders, maintenance history, schedules, and analysis. Its usefulness depends on whether asset records and workflows are reliable and whether it fits the site’s integration needs. Software can make data easier to manage; it does not replace accurate event records or sound cost assumptions. DOE’s CMMS discussion Plant Engineering’s survey coverage
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