Real-time analysis: Every drop counts

Thirty years ago, a production manager’s daily routine included collecting samples, walking them to the lab, waiting for results, and then adjusting the process. It worked, but it was slow, and every delay meant lost yield.

That picture has changed completely. Today, around 80% of the world’s milk is analyzed by FOSS technology. When the MilkoScan was introduced, dairies could, for the first time, measure fat, protein, and total solids continuously during production. As Michael Sievers from FOSS recalls:

When we launched this instrument 30 years ago, it was the first time the dairies could measure fat, protein, total solids in real time.

With fewer dairies processing the same amount of milk, Germany has gone from 617 sites in 1985 to just 210 today. For the sake of competitiveness, every drop matters more than ever.

Inline control in practice

Inline sensors now deliver lab-quality measurements every three seconds. Instead of waiting 15–20 minutes for results, production teams can adjust processes instantly. The impact on yield is very real.

In butter production, traditional lab checks might hold average moisture at 15.7%. Inline systems stabilize output at 15.85%. That 0.15% difference means an extra €70,000 a year for a dairy producing 5 million kilos of butter.

Sievers explains:

“With lab setup, you can in average reach 15.7% moisture. (…) With this online system and a great control loop, you can reach 15.85. It sounds like nothing, but if you produce five million kilos of butter a year(…). This small dairy could save around 70,000 euros a year by increasing the yield.”

And the benefit goes beyond butter. Saving just 0.01% fat in consumer milk production can redirect significant fat volumes into higher-value products such as butter or cheese. Even medium-sized dairies handling 250,000 liters of milk daily can save close to €90,000 a year by pushing fat levels precisely to the legal limit.

Why automation matters for people too

The move to inline systems is not only about yield. Staffing dairies is becoming harder. As Sievers puts it:

“Young, highly qualified people want to do everything, but not working in a dairy – three shifts, over the weekend, it’s wet and it smells.”

Automation helps bridge that gap. Systems don’t just generate data; they capture decades of operator expertise in control loops and PLCs, reducing dependency on scarce skills.

Investment thresholds and ROI

For many medium-sized dairies, the critical point comes at around 500,000 liters of daily intake. At this scale, an investment of €200,000 in sensors and automation typically pays back within two years. In butter, ROI can be even faster, sometimes under 12 months.

The old days of struggling with 4–20mA signals and manual calibration are over. Today’s systems use artificial neural networks for calibration, OPC UA for communication and cloud-ready data sharing. And through partnerships between FOSS and Au2mate, dairies now get complete solutions rather than piecing together automation and sensor suppliers separately.

The road towards industry 4.0

Industry 3.0 is already delivering impressive results, but the next step is full digital integration. More sensors across the process, digital twins, and AI-driven decision models are on the horizon.

As Sievers warns:

“We are fighting on a world market against people from New Zealand that do this online, inline since decades. We Europeans are always conservative and jump on such a train later, but now on full speed.”

For medium-sized dairies, the decision point is here. Inline analysis and automation are no longer future technologies. They are the competitive standard.