Tracking maintenance beyond Excel: when is it time to switch?
Excel is a good place to start, but at some point it costs more time than it saves. Five signs it's time to put maintenance into a system.
At most companies, maintenance tracking starts with a spreadsheet. That makes sense: it's quick to set up, everyone knows how to use it, and at first it's more than enough. The trouble starts when the number of vehicles, forklifts and machines grows and only one or two people really understand the file.
Five signs you've outgrown Excel
- A check takes half a day. If a review means going through several tabs, filters and manual calculations, the time goes into admin, not maintenance.
- There are no reports. Answering how much a forklift costs per year, or which vehicle spends the most time in the workshop, takes hours of work.
- Not everyone can touch it. The file is so complex that one value in the wrong cell can break a formula, so only a few people are allowed to edit it.
- Deadlines live in someone's head. A spreadsheet doesn't warn you when an inspection expires or a service is due. When the person in charge is on holiday, the monitoring stops too.
- The same data is typed in several times. Part of the master data already exists in other systems, yet it is copied into the spreadsheet by hand.
What to expect from a system
You don't necessarily need new software that replaces everything. Often it's enough to bring existing data into one place and let the system do the repetitive part:
- calculate due dates by mileage, operating hours or calendar,
- send reminders in good time and in several steps,
- keep the history of completed work and costs,
- produce reports at the push of a button,
- control who can see and change what, per role.
An example from practice
A logistics client handling pharmaceuticals, crop protection products and beverages tracked maintenance for its warehouse forklifts and equipment in a complex spreadsheet. After the process was automated, monthly maintenance admin went from 8 hours to 10 minutes.
How to get started
The first step is a simple assessment: which assets, which deadlines and which data sources are involved. That shows where most time is lost and which process is worth automating first.