5 Excel errors that paralyze production departments
Most manufacturing plants in Silesia that we visited in 2024 still base their budget on Excel sheets created back in 2018. One small error in a formula can distort energy costs by 12,450 PLN per month, which we usually detect only after a quarter. Below I present specific problems we encounter in production halls from Gliwice to Dąbrowa Górnicza.
Lack of cell locking and formula errors
During an audit at a plastic processing plant in Tychy in September 2024, we discovered that operators were entering data into the sheet without any safeguards. One accidental press of the Delete key in a cell with a summation was enough for the entire daily report to lose its meaning. Results were underestimated by 14.3%, which for two months hid real raw material losses on line No. 4. No one blocked access to key calculations, so any employee with shared access to the file could unknowingly damage it.
At Silesia Profit Solutions, we check such files for consistency and always recommend hard locking of areas with formulas. In the described case, the error cost the company 42,800 PLN in unrecorded production waste. The problem is that Excel forgives many user errors, but it does not forgive them for the company's finances. If your tables do not have sheet protection, it's only a matter of time until someone overwrites an important formula with manual data.
Excel forgives the user errors, but it does not forgive the company's finances.
138 MB files that paralyze work
Many finance departments use sheets that swell year by year with excess historical data. The record-holder we met in Katowice was 138 MB and took an average of 8 minutes and 12 seconds to open on a standard office computer. This is not just a matter of employee frustration, but a real cost. We calculated that the production manager opened this file 4 times a day, losing 32 minutes and 48 seconds every day. On a monthly scale, that's over 11 hours of pure waiting for data to load.
Such giants often contain thousands of unnecessary formats and hidden links to files that no longer exist on the server. This causes the system to freeze at the least appropriate moment, for example, during the morning briefing at 7:15, when a quick decision needs to be made about changing the production plan. Instead of struggling with a slow sheet, it's better to separate historical data from current data or move to automatic reports pulled straight from a SQL database.
Manual transcription from paper reports
This is the biggest error generator we see in plants in Upper Silesia. Operators on the floor write down results on paper forms, and then a lady from the office in Katowice transcribes them into Excel for 3 hours a day. Our measurements from October 2024 show that in such a work model, on average every 14th entry contains an error. Sometimes it's a typo, other times a comma shift, which in reporting gas consumption worth 840,000 PLN annually has a colossal impact on the margin.
Automating this process reduces report workload by 68%. Instead of manual typing, data can flow directly from PLC controllers or industrial scales. In one of the projects for a company from Chorzów, we reduced the daily report generation time from 120 minutes to 47 seconds. Thanks to this, the shift manager sees results in real-time, not with a 24-hour delay, allowing him to react to a machine failure before it wastes 312 kg of material.
We reduced daily report generation time from 120 minutes to 47 seconds.
Different versions of truth in logistics and production
We often encounter a situation where the logistics department has its Excel file and production has its own. At the end of the month, it turns out that inventory levels differ by 387 component pieces because each sheet calculates consumption differently. The lack of one central data source is a simple path to disputes between departments and wrong purchasing decisions. Logistics orders material because their table shows shortages, while production has full pallets at the ramp that they didn't include in their 'unofficial' report.
At Silesia Profit Solutions, we build reports that use the same sources, eliminating 'my data says something else' situations. Implementing a consistent reporting system in one of the companies from Sosnowiec allowed for a reduction in excess inventory by 12.4% within the first 92 days. This freed up cash that was previously lying frozen in raw material on the racks. No more arguments at board meetings about whose table is more up-to-date.
Lack of change history and backups
The last sin is overwriting files. 'Final_Report_v2_corrected.xlsx' is a name we see almost everywhere. When someone makes a mistake on Monday and saves the file, by Tuesday there is no longer a way to return to correct data from last week without tedious reversal of changes. In November 2024, we helped a company from Ruda Śląska recover data after an intern accidentally deleted the order history for an entire quarter. Recovering it took 14 hours of an IT specialist's work.
Instead of counting on luck, it's worth implementing automatic data archiving mechanisms. We use solutions that save the history of every change to the second. Thanks to this, management is certain that hard data from the production line is safe and intact. Results based on numbers must be reliable, and without a decent backup, they are only temporary information on a monitor screen that can disappear with the next click of 'Save'.
