Common Problems in Manual Production Tracking With Spreadsheets
The specific ways spreadsheet-based production tracking breaks down in practice, beyond the general advice to use better software.
By Touhidul Islam Rukon
What is it?
A rundown of the concrete failure modes that show up when a spreadsheet is used to track a live production process, rather than a static record.
Why does it matter?
These problems are easy to dismiss individually. A duplicate entry here, a stale copy there. But they compound, and by the time they're visible, the operation has usually already made a decision based on wrong numbers.
Real-world perspective
The system I built to replace spreadsheet tracking on a router-refurbishment line, RPOMS, is deliberately designed around these exact failure modes: it stages CSV imports so duplicates are caught before anything is written, and it won't let a delivery save unless the scanned load matches the quantity it was raised for.
Key considerations
No validation: a spreadsheet accepts whatever is typed into it, including numbers that don't reflect what happened.
No single source of truth: multiple copies drift apart, and nobody's sure which one is current.
No audit trail: it's rarely clear who changed what, or when, once something looks wrong.
Delayed visibility: problems surface in a weekly review, long after they happened on the floor.
Conclusion
These aren't reasons to dislike spreadsheets in general. They're reasons a live, physical process usually outgrows one.
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Spreadsheets work until a production line grows past what one shared file can honestly track. Here's where that line usually gets crossed.