Downtime is every maintenance and production team’s worst enemy. A line that stops means lost output, slipping customer deadlines, improvised overtime and rising pressure. Yet most unplanned downtime is far from inevitable: it follows repeating patterns that can be identified, measured and corrected. This article reviews the real causes of downtime, its true cost, and the concrete levers you can use to improve equipment availability.
Where downtime really comes from
When you analyse a workshop’s history, the same families of causes come up almost every time.
- Technical failures: wear, mechanical breakage, electrical faults, dead sensors. It’s the most visible cause, but rarely the biggest in terms of hours lost.
- Waiting for parts: equipment sits idle not because the fault is complex, but because the spare part isn’t in stock, or nobody knows where it is.
- Lack of preventive maintenance: without planned upkeep, you always repair in a rush, at the worst possible moment, with heavier secondary damage.
- Poor organisation: badly prepared jobs, missing procedures, wrong diagnosis, unnecessary back-and-forth, information that flows badly between teams and shifts.
That last point is often underestimated. A large share of a stoppage isn’t repair time, it’s waiting time: waiting for an available technician, for approval, for a part, for instructions. Reducing downtime is therefore as much about cutting these dead times as it is about repairing faster.
The real cost of a stoppage
The cost of downtime is never limited to the repair. Several items add up:
- lost production during the stoppage (and sometimes the restart time);
- the labour mobilised, including overtime and the disruption to other tasks;
- the knock-on effects: late deliveries, penalties, outsourced emergency repairs, scrap in the event of an abrupt stop;
- the impact on people: stress, loss of confidence in the machines, an exhausting firefighting culture.
Every workshop has its own figures, which is exactly why they should be measured rather than guessed. Knowing the average cost of one hour of downtime on a critical line radically changes how you make trade-offs on preventive work and spare-part stock.
Concrete levers to reduce downtime
1. Move from reactive to preventive maintenance
The first lever remains preventive maintenance. Scheduling work by calendar (monthly, quarterly) or by actual usage (running hours, cycles, mileage read from a meter) lets you anticipate wear before breakage. The goal isn’t to maintain everything all the time, but to focus effort on critical equipment, the assets whose downtime costs the most.
2. Secure your critical parts
A preventive plan is useless if the part is missing on the day. Identifying critical parts, setting reorder thresholds, and knowing in real time what is available versus reserved is often the fastest win on downtime duration. Linking parts to equipment also lets the technician immediately know which reference to order.
3. Use history and diagnosis
Equipment that fails three times a month is telling you something. A work history lets you spot recurring faults, trace root causes and stop treating symptoms. Without a written record, every breakdown is day one; with structured history, diagnosis is faster and decisions (repair, improve reliability, replace) are better grounded.
4. Clear, up-to-date procedures
A well-prepared job is a shorter job. Clear inspection and troubleshooting procedures, available directly on the asset, reduce mistakes and narrow the gap between an experienced technician and a newcomer. They also prevent the omissions that trigger a second stoppage a few days later.
5. Give technicians mobility
A lot of time is lost between the workshop and the office. With a mobile field app, the technician receives their jobs, checks history and procedures, records their reports and consumes parts right in front of the machine. Information is captured at the right moment, with no re-keying and no lost paper.
Measure to improve: MTBF, MTTR, availability
You can only manage what you measure. Three indicators are enough to get started:
- MTBF (mean time between failures): the higher it goes, the more reliable your equipment.
- MTTR (mean time to repair): the lower it goes, the more efficient and well-organised your interventions.
- Availability: the percentage of time equipment is genuinely fit to produce.
Tracked over time, these indicators reveal which assets are dragging the workshop down and the real effect of your actions. Maintenance reporting fed automatically from work orders avoids manual spreadsheets and keeps the data trustworthy.
In short
Reducing downtime isn’t a matter of luck or brand-new machines: it’s a methodical approach. Anticipate with preventive maintenance, secure critical parts, build on history, clarify procedures, equip technicians in the field, then measure with MTBF, MTTR and availability. A CMMS exists precisely to hold this chain together: centralising information, triggering preventive work at the right time and turning every intervention into usable data. It’s this virtuous cycle — anticipate, act fast, learn — that truly pushes downtime back.