If the risks are so clear, why is monitoring still so patchy in so many facilities? The answer does not lie in the employees’ knowledge. It lies in the design of the monitoring system itself.

In practice, facilities today essentially have two options available. Option one: a wired measurement system that connects the probe to a data logger via a cable. On paper, this is the more robust solution: continuous data, traceable curves. In practice, however, it’s an inconvenient compromise. The cable gets in the way, catches on doors, makes cleaning according to HACCP standards more difficult, and limits how the batch can be positioned in the device. Furthermore, the data is stored in a silo; it must be read, interpreted, and transferred individually. The result is predictable: at some point, employees set the sensor aside because operations would otherwise not run smoothly. And what no one says out loud becomes standard practice.

Option two is even more common in many facilities: manual measurement using a hand-held thermometer and a paper log. Someone has to remember to take a reading at the end of the cooking process. Then again during the cooling phase. Then again at the very end. Timing depends on a kitchen timer, which is easy to forget to start or which might go off while you’re busy with two other batches. And this happens during a shift in which 5, 10, or 15 batches are running simultaneously.

The values are not recorded immediately upon measurement. The values may be recorded down quickly from memory at the end of the shift, or, in the worst case, the entry may even be forgotten entirely.

Measurement according to the fact: The basic structural problem

Both approaches, cable-based and manual, face the same structural problem: The measured values are interpreted only after the process step has been completed.

If an employee at a checkpoint determines that a batch may have exceeded its time window, the process is already complete. The employee can no longer intervene but must decide: destroy the batch, with all the associated costs, or accept the risk without data that would clearly justify this decision.

And even if everything runs smoothly: Where is the data? The data logger and the paper log are separate data sources. If HACCP software is used, the data from the loggers and the paper log is missing there as well. These silos are not interconnected. Every transition between the systems results in a data discontinuity, yet another source of errors, delays, and gaps. Furthermore, the complexity of an audit, in which all data is reviewed at a later date, increases immeasurably.

The result: deviations only become apparent when it is too late to respond to them. Documentation is compiled retroactively instead of being generated during the process. For audits, this means searching for evidence of something that happened yesterday in a system based on paper and memory.

Four vulnerabilities that reinforce each other

In companies that use Cook & Chill or Cook & Freeze processes, the problems typically boil down to four recurring vulnerabilities:

• Documentation effort: Measuring, writing things down, setting timers: for every single batch, throughout the entire shift. This effort can quickly add up to hours and distract qualified kitchen staff from their actual duties with administrative work.

• Human errors: Measurements overlooked during peak operations, incorrectly recorded values. In teams with high turnover or language barriers: processes that are carried out without being fully understood. This leads to uncertainty in implementation and errors that aren’t even recognized as such.

• Lack of transparency: No company has an easy overview of which batch is currently where in the cooling phase. Planning happens on the basis of empirical knowledge, not on the basis of live data, which costs capacity.

• Missing data in the test case: All data must be available in its entirety during an audit. Otherwise, if the auditor wants to know the values for a specific batch of a specific day, this could quickly become an unpleasant pitfall.

These four weaknesses reinforce one another. The burden of documentation leads to human error. Human errors create precisely the data gaps that become a problem during audits. And underlying it all is the fundamental structural problem of discontinuity in monitoring. What is recorded in most facilities today are snapshots rather than continuous temperature curves. And what is missing is proof that there were no deviations in between.