Maintenance Operations Guide 13 min read

The essential maintenance KPIs & reports every plant head needs

A maintenance department that cannot answer "what is due, what is stuck, where downtime concentrates and where the money goes" is running on memory. These seven reports — and the KPIs behind them — turn a shelf of registers into a managed function you can defend at a management review or an ISO audit.

Vidya Kathare · July 18, 2026 13 min read Operations series
The plant head's report shelf
01
PM-due & calibration recall
What preventive work falls due now
Plan
02
Breakdown ageing
Open tickets by age, priority, technician
Backlog
03
Downtime analysis
Hours by asset, line, cause, period
Loss
04
MTBF / MTTR & availability
Reliability trend per machine
Reliability
05
Maintenance cost
Labour + spares + service per asset
Cost
06
PM compliance
Planned vs completed, for the audit
Evidence

Why maintenance runs on numbers, not feel

Ask three people on a shop floor which machine is the biggest headache and you will get three answers — the loudest failure, the most recent one, and the one that stopped a big dispatch. None of them is a fact. The machine that quietly loses two hours a week to small stoppages can cost more in a year than the one that failed dramatically once. Maintenance is full of impressions like this, and impressions are exactly what a reporting discipline exists to replace.

The good news is that if maintenance work is recorded properly, the reports are almost free. A CMMS holds every asset, every preventive job and every breakdown as a linked record, so a report is a live view over documents that already reference each other — not a spreadsheet somebody rebuilds each month from a diary. Get the capture right at the point of work and the numbers reconcile with each other and with the plant's actual experience.

The one-line test
A maintenance report is only as good as the timestamps behind it. If every breakdown carries a time-down and a time-restored, and every spare is issued against a work order, the seven reports below are one click. If they don't, every report is an argument.
The KPIs in this guide are all views over the same linked chain — which is why availability reconciles with downtime and cost reconciles with spare consumption.

This guide walks the seven reports a plant head genuinely uses, the KPIs each one surfaces, and the decision it drives. It is deliberately practical: no vanity metric that looks good on a slide but changes nothing on the floor.

Leading vs lagging KPIs — and why you need both

Maintenance KPIs split into two kinds, and confusing them is the most common reporting mistake. Lagging indicators tell you what already happened: downtime hours, MTBF, MTTR, breakdown count, maintenance cost. They are the scoreboard. Leading indicators tell you whether the future is being protected: PM compliance, the size of the PM backlog, calibration recalls done on time, spare-stock coverage on critical items. They are the training.

The trap is managing only the scoreboard. A plant that watches downtime but ignores PM compliance is watching the crash instead of the driving. Downtime is a lagging result of a leading cause — preventive work that did or did not get done weeks earlier. The strongest maintenance functions lead with a leading KPI (PM compliance) and confirm with a lagging one (MTBF trend), so effort and outcome are both visible.

TypeLeading (protects the future)Lagging (records the past)
AnswersAre we doing the work that prevents failure?Did failures and their cost go down?
ExamplesPM compliance, PM backlog, calibration-on-time, critical-spare coverageDowntime hours, MTBF, MTTR, availability, breakdown count, cost
CadenceWeekly — act before the failureMonthly — review the trend
Risk if ignoredFailures build up quietly, then arrive togetherYou improve blind, with no proof it worked

1. The PM-due report — what preventive work falls due

The PM-due report is the daily starting point of a planned maintenance function. It lists every preventive maintenance task falling due — now, this week, and overdue — for every asset, whether the trigger is calendar-based (every N days) or usage-based (every N running hours or cycles). Next to it sits the calibration-recall list: measuring instruments due for recalibration, which in Fast Maintenance is functionally a PM schedule for gauges run through the same due-list.

Two columns make it useful rather than decorative. First, an overdue flag, because a PM that is three days late is a leading indicator of a breakdown, not an administrative footnote. Second, criticality, so the planner can protect the assets whose failure hurts most when the week is tight. A plant that works its PM-due list to zero overdue on critical assets is doing the single most valuable thing in maintenance: preventing the failure instead of chasing it.

2. Breakdown ageing — what is open and getting older

Where the PM-due report looks forward, the breakdown-ageing report looks at the present backlog: every open breakdown ticket, grouped by how long it has been open, its priority, and the technician it is assigned to. It mirrors the ticket-follow-up dashboards the platform already runs for complaints and service calls, adapted to maintenance.

It answers the questions a maintenance manager asks at the morning meeting: which machines are down right now; which tickets have been open too long and why; whether a technician is overloaded; and whether anything is stuck waiting on a spare that should have been reordered. A ticket sitting for two days with the note "waiting for bearing" is not a repair problem — it is a spare-stock problem the ageing report just surfaced. Used daily, it stops small breakdowns from quietly ageing into big ones.

3. Downtime analysis — where the lost hours concentrate

Downtime is the core loss maintenance exists to reduce, and the downtime-analysis report is where the loss becomes specific. Built from the time-down and time-restored timestamps on breakdown tickets, it slices downtime hours by asset, by production line, by failure cause, and by period. That slicing is the whole point: total downtime is a number, but downtime by cause is a to-do list.

The classic finding is a Pareto pattern — a handful of assets or a couple of recurring causes account for most of the lost hours. When "hydraulic seal failure" shows up as the top cause on the press line month after month, the report has just told you exactly where a reliability project or a preventive task change will pay back. Without the report, that same failure feels like bad luck each time it happens; with it, it is a pattern you can attack.

Want to see these reports on your own machines?

A 30-minute demo of Fast Maintenance Software shows the PM-due list, breakdown ageing, downtime-by-cause and a live MTTR/MTBF dashboard — on assets like yours, cloud or on-premise.

Get a demo

4. MTBF, MTTR and availability — the reliability scoreboard

These are the headline reliability KPIs, and a CMMS computes them automatically so nobody tallies by hand. MTBF (mean time between failures) is the average running time between failures — a measure of reliability; higher is better. MTTR (mean time to repair) is the average time to restore a failed asset — a measure of maintainability; lower is better. Availability is derived from the two: MTBF ÷ (MTBF + MTTR).

The value is in the trend, not the single number. Fast Maintenance plots MTBF-over-time and MTTR-over-time per machine, so you can see whether a reliability effort is actually working. Crucially, the two numbers point at two different fixes: raising MTBF comes from preventive maintenance and reliability work, while lowering MTTR comes from spare availability and faster, better-instructed response. Reading them together stops you from throwing preventive effort at a machine whose real problem is that the spare is never on the shelf.

Illustrative — one production machine over a month

How the KPIs turn timestamps into a decision

A machine runs 600 hours in the month, fails 4 times, and takes 20 hours of repair in total. MTBF is 600 ÷ 4 = 150 hours; MTTR is 20 ÷ 4 = 5 hours; availability is 150 ÷ (150 + 5) ≈ 96.8%. The downtime report shows 3 of the 4 failures were the same seal, and the ageing report shows 2 of them waited on a spare. That points at two fixes on two reports: a preventive task for the seal (raises MTBF) and a reorder level on the spare (lowers MTTR). Halving MTTR to 2.5 hours lifts availability toward 98.4% without the machine failing any less. (Numbers are illustrative, to show the arithmetic.)

96.8%
availability before
2
fixes, two reports
7
reports in the stack

For the full formulas and worked examples, see MTTR, MTBF and availability explained and the Dashboards & MTTR/MTBF feature.

5. Maintenance cost — where the budget actually goes

Maintenance cost is the report that gets a maintenance manager taken seriously in the boardroom, because it speaks the language finance speaks. It rolls up, per asset and per period, the three components of maintenance spend: labour (technician time booked to work orders), spares (parts issued against repairs and preventive jobs), and external service (outside repair and AMC bills procured through the maintenance purchase route).

Read per asset, it exposes the money pit — the machine whose annual maintenance cost is quietly approaching the price of replacing it, a fact no one can see when costs are scattered across stores issues and vendor invoices. Read as a ratio of planned-to-reactive spend, it shows whether the plant is buying down future failures or paying premium prices for emergency ones. Cost framing is what turns a request for a preventive-maintenance budget from a plea into a business case. For the full treatment, see how to reduce maintenance costs.

6. Spare consumption and stock — the hidden half of maintenance

A large share of maintenance cost and a large share of downtime both live in spares, which is why spare consumption and stock deserve their own report. It shows what was consumed, against which asset and work order, and what remains on the shelf against each spare's reorder level. In Fast Maintenance this is grounded in the spare-part master and its spare bill of materials — spares linked to the parent asset — with issues booked against the specific job through the stores engine.

Two questions it answers weekly: which critical spares are below reorder level and need a purchase raised now, and which slow-moving spares are tying up cash on the shelf for a failure that rarely happens. The first prevents a stockout turning a two-hour repair into a two-day one; the second stops the store quietly becoming a graveyard of parts bought in panic and never used. See Spare Parts & BoM and the deeper guide to spare parts inventory management.

7. PM compliance — the leading indicator that predicts the rest

If a plant head could keep only one number, it should be PM compliance: the percentage of scheduled preventive jobs completed on time within their due window. Sixty PM tasks due in a month, fifty-one closed inside their window, gives 85% compliance. It is the best leading indicator in maintenance because it measures discipline before the failures it prevents — a plant that lets compliance slide will usually see breakdown frequency climb a few weeks later, exactly the lag between skipped preventive work and the failure it would have caught.

It is also the report auditors ask for. For ISO 9001 and IATF 16949, a PM-compliance report is direct evidence that a preventive-maintenance programme exists and is followed — not a policy on a shelf but a completed record. Indian auto-component suppliers, in particular, are asked for exactly this at surveillance audits, and a CMMS that produces it on demand turns audit week from a scramble into a print.

How the seven reports fit one review
1
Start with what is due
PM-due and calibration recall set the week's preventive work before anything fails.
2
Clear what is stuck
Breakdown ageing keeps open tickets from quietly getting older.
3
Attack where loss concentrates
Downtime-by-cause turns lost hours into a ranked to-do list.
4
Confirm reliability is improving
MTBF/MTTR trends prove the effort worked, per machine.
5
Justify the budget
Maintenance cost and spare consumption make the business case.
6
Prove the discipline
PM compliance is the leading number and the audit evidence.

A reporting cadence that actually gets followed

Reports only change behaviour when they arrive on a rhythm someone owns. The workable pattern is three tiers. Daily, on the floor: the live machine-status board, the PM-due-today list, and any open high-priority breakdowns — the views that keep work moving. Weekly, at the maintenance meeting: breakdown ageing, PM compliance for the week, and the spare-reorder list — the leading views that keep the backlog from building. Monthly, at the management review: MTBF/MTTR and availability trends, downtime by cause, and maintenance cost per asset — the lagging views that drive reliability and budget decisions.

Alerts close the loop between reports and action. PM-due, breakdown and reorder notifications go out over email, SMS and WhatsApp, so the person who needs to act does not have to remember to open a screen. A report that only lives on a dashboard nobody opens is a report whose schedules slip.

How Fast Maintenance Software builds the stack

Fast Maintenance Software produces every report above from one connected database, built by Improsys in Pune on the shared Fast Suite platform and available cloud or on-premise. Because each maintenance event is a linked record, the reports are live views, not monthly spreadsheet builds.

1
Capture at the point of work. Breakdown tickets carry a time-down and time-restored; preventive jobs close against their schedule; spares are issued against the specific work order — so downtime, MTTR, cost and compliance fall out of the data rather than being reconstructed.
2
Compute the KPIs automatically. MTBF, MTTR and availability are calculated from the ticket timestamps and plotted per machine over time on the MTTR/MTBF dashboards, alongside a live status board showing every asset as running, under breakdown or idle.
3
Roll up cost and spares. Labour, spare issues and external-service bills roll up per asset and period, and spare consumption reconciles with stock and reorder levels through Fast Inventory & Purchase.
4
Push it out and dig deeper. Alerts go over email, SMS and WhatsApp, and Dhruv AI adds role dashboards, plain-English questions answered from a safe read-only view, and clustering of breakdown-cause remarks into named recurring themes — so the "why" behind the downtime surfaces, not just the count.

Frequently asked questions

What are the most important maintenance KPIs?

The headline maintenance KPIs are MTBF (mean time between failures, a reliability measure), MTTR (mean time to repair, a maintainability measure), availability (MTBF divided by the sum of MTBF and MTTR), PM compliance (planned preventive jobs completed on time versus scheduled), downtime hours by asset and cause, breakdown frequency, and maintenance cost per asset covering labour, spares and external service. A CMMS computes MTBF, MTTR and availability automatically from the start and stop timestamps on breakdown tickets, so you track trends per machine rather than tallying by hand.

What maintenance reports does a plant head actually need?

Seven reports cover almost every decision: a PM-due report (what preventive work and calibration recalls fall due now, this week and overdue), breakdown ageing (open breakdown tickets by age, priority and technician), downtime analysis (downtime hours by asset, line, cause and period), MTBF/MTTR and availability trends, maintenance cost (labour plus spares plus external service per asset and period), spare consumption and stock, and PM compliance (planned versus completed preventive jobs). Together they answer what is due, what is stuck, where downtime concentrates, whether reliability is improving, where the money goes and whether the preventive programme is actually being followed.

How is PM compliance calculated?

PM compliance is the percentage of scheduled preventive maintenance jobs that were completed on time within their due window: completed-on-time jobs divided by scheduled jobs for the period, times one hundred. If sixty PM tasks were due in a month and fifty-one were closed within their window, compliance is eighty-five percent. It is the single best leading indicator in maintenance because it measures discipline before failures happen — a plant that lets PM compliance slide will usually see breakdown frequency rise a few weeks later. Auditors for ISO 9001 and IATF 16949 treat a PM-compliance report as direct evidence of a working preventive programme.

How does a CMMS produce these reports automatically?

Because every maintenance event is a linked record. When a breakdown ticket carries a time-down and time-restored, downtime, MTTR and availability fall out of the data. When spares are issued against a specific work order, spare consumption and maintenance cost roll up by asset. When PM schedules generate tickets, planned-versus-completed compliance is just a count. Fast Maintenance Software builds all of this on one database, so the reports are live views over the documents rather than spreadsheets someone rebuilds each month — which is why they reconcile with each other.

What reporting cadence should a maintenance team follow?

A practical rhythm is daily, weekly and monthly. Daily: the live machine-status board and the PM-due-today list, plus any open high-priority breakdowns. Weekly: breakdown ageing, PM compliance for the week, and the spare-reorder list. Monthly: MTBF/MTTR and availability trends, downtime analysis by cause, and maintenance cost per asset for the management review. The daily views keep the floor moving, the weekly views keep the backlog from building, and the monthly views drive the reliability and budget decisions.

Ready to run maintenance on numbers instead of memory?

A 30-minute Fast Maintenance Software demo covers the PM-due report, breakdown ageing, downtime analysis, MTBF/MTTR dashboards and maintenance cost per asset — cloud or on-premise, on your own machines.

Get a demo
No commitment. No slides. Your plant on screen.