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A downtime report logs every stoppage event by machine, shift, duration, and cause, then aggregates that data so you can identify your biggest sources of lost production time. Build one by capturing start time, end time, machine, and a specific cause code for every stop, then analyze the results by total hours lost per cause category to prioritize fixes. Manual logging misses short stops and rounds durations, so the report is only as good as the data feeding it.
A downtime report turns scattered stoppage events into a prioritized list of what's actually costing you production time. If you're a plant manager or maintenance lead trying to figure out where to focus improvement efforts, the report only works if it captures every stop consistently, including the short ones that get waved off as "just a few minutes."
This guide covers how to structure a downtime report, what data fields matter, and how to analyze the results to find your highest-impact fixes first.
A useful downtime report needs enough detail to act on, not just a total minutes-lost number. At minimum, log the following for every stoppage:
Machine or asset ID: which specific piece of equipment stopped
Start and end time: timestamped to the minute, not rounded to the nearest 15 or 30
Duration: calculated automatically from start and end time, not entered separately
Downtime type: planned (changeover, scheduled maintenance) or unplanned (breakdown, material shortage, operator error)
Cause category: a specific reason code, such as tooling failure, material shortage, or electrical fault, not a generic "down" entry
Shift and operator: to spot patterns tied to specific crews or handoff periods
The cause category field matters most for analysis. A report full of vague "machine down" entries can tell you total lost hours, but it can't tell you what to fix.
Start with a consistent structure, whether it's a spreadsheet or a real-time system, then log every event as it happens rather than reconstructing it at end of shift.
The build process looks like this:
Define your cause code list in advance, covering the most common failure modes for your equipment (mechanical, electrical, material, operator, quality)
Set up one row or record per downtime event, not one row per shift or per day
Capture start and end time as close to real time as possible to avoid rounding errors
Aggregate the log into a summary view showing total hours lost by cause, by machine, and by shift
Manufacturers without a monitoring system in place can start with a structured spreadsheet, like a machine downtime Excel template, before moving to automated capture.
Analysis starts with sorting total downtime hours by cause category, not by machine. The goal is finding the one or two causes responsible for the largest share of lost time, since fixing those first delivers the biggest return.
A useful analysis sequence:
Rank cause categories by total hours lost across all machines, not just count of events
Separate planned downtime from unplanned downtime, since they need different fixes
Cross-reference top causes against specific machines to see if the problem is fleet-wide or isolated to one asset
Check for patterns by shift, since a cause that spikes on one shift often points to a training or handoff issue rather than a mechanical one
A machine with many short stops often loses more total time than one with a single long breakdown, but short stops get ignored because no single event looks significant on its own. Ranking by total hours lost, not event count, surfaces that pattern.
Manual logging consistently underestimates downtime, because operators round durations, skip logging brief stops entirely, and reconstruct events from memory at the end of a shift instead of in the moment. A 7-minute stop becomes "5 minutes." A 30-second micro-stop often isn't recorded at all.
Those small gaps add up. A machine with fifty unrecorded micro-stops a day is losing real production time that never shows up in a manual report, which means the fix, whatever it is, never gets prioritized because the data doesn't show a problem.
Automated downtime tracking captures every stop directly from machine state data, with no manual entry and no rounding. Every event gets timestamped and logged automatically, including the short stops that manual systems miss entirely.
Caddis Systems' reporting builds on that captured data with root-cause breakdowns and trend charts, so a report that used to take a supervisor an hour to compile from paper logs is available on a live dashboard instead. Manufacturers can also use the downtime calculator to translate downtime hours directly into dollar impact, which makes prioritization conversations with leadership much more concrete.
Daily for operational response, and weekly or monthly for trend analysis. Reviewing only monthly means small, recurring issues stay invisible for weeks before anyone notices the pattern.
Planned downtime includes scheduled events like changeovers and preventive maintenance. Unplanned downtime includes breakdowns, material shortages, and quality holds. Separating the two prevents planned events from masking real reliability problems.
Yes, if the tracking method allows it. Micro-stops under a minute are often the biggest source of hidden downtime, since they're too brief to notice individually but accumulate into significant lost time across a shift.
Targets vary by industry and equipment age, but the more useful benchmark is your own trend over time. A report that shows unplanned downtime declining month over month is more actionable than comparing against an industry average that may not fit your equipment mix.
Yes. A report showing consistent, high-cost downtime on a specific machine, tied to a dollar figure, is often the clearest justification for a capital replacement or rebuild decision.
A downtime report is only useful if it captures every stop with enough detail to point to a fix, and manual logs rarely do that consistently. Automated tracking closes that gap and turns downtime data into a prioritized action list instead of a rough estimate. See how Caddis Systems can automate your downtime reporting from day one. Book a demo today.