Choose your mayo plant for cleanability, not capacity

If your mayonnaise runs need to be predictable, the main thing you want is to clean quickly between batches, and in the same way every time. Extra liters per hour on paper don’t mean much if, in practice, you lose time to rinsing, changeovers, and dealing with leftover product. It’s exactly that “time around it” that sets your pace: a CIP that runs long, parts that need just a bit more attention, or a next batch that starts differently because product was left behind.

So look at a mayonnaise processing plant as if it’s first and foremost a line that helps you drain, clean, and get product-free again. Only then does capacity become a fair comparison. If cleanability is right from the design stage, you start up more calmly, you have to correct less, and your planning stays tighter.

Why cleanability determines your real capacity

Your real throughput is often dictated by recurring small delays: a cleaning step that consistently overruns, a component that holds product after rinsing, or extra checks because you want certainty. A design built around this limits those mini-stops: it leaves less product behind, is easier to clean, and makes the cleaning result more consistent. That makes your day more predictable.

With mayo, you notice carry-over quickly. Signals include, for example: a smell that lingers after cleaning, a greasy film on stainless steel after rinsing, or small lumps during filling while the recipe and settings are unchanged. A line that drains well and whose CIP reaches every spot reduces this. Only when that basic behavior is right does fine-tuning recipes or settings really pay off.

What to look for in a design review (without thick reports)

• You don’t need to turn this into a big project. Take a P&ID and look specifically for where product can remain and where cleaning becomes difficult. Focus especially on:
• Dead legs in piping, such as T-pieces, long run-outs, and blind instrument points: make sure there’s enough flow during production *and* CIP to automatically flush those zones, so they stay clean and product-free
• Accessibility of seals and gaskets: if these are easy to reach, inspection and replacement become routine instead of something you keep postponing because it requires lots of disassembly
• Drainability: well-placed low points let pipes and parts of the line truly drain, so residual product and rinse water don’t end up coming along later
• CIP setup: being able to clean per section (for example, tank, piping, and filling section separately) keeps cleaning more targeted and consistent, and reduces the time you spend “making sure it’s really clean”

Hygienic design: where it gets tricky in practice

The difference is often in small add-ons that seem logical: an extra sensor, an extra bend, a bypass for flexibility. Every add-on can make cleaning harder: more surface area, more connections, and more places where product can hang up. If you account for this upfront, you avoid losing time later to extra rinsing, disassembly, or additional visual checks.

Two points to discuss concretely in advance. One: flexibility often costs cleaning time. Many SKUs and recipe variants usually mean more changeovers and extra cleaning steps (for example, due to different ingredients or allergens). If you mainly run short batches, a simpler design with fewer side paths helps: fewer places for residual product and faster return to stable production.

Two: a lower investment can be fine, as long as the design doesn’t push the work on the floor onto you. Less automation or a simpler CIP concept can work, but it still needs to be predictably cleanable. Have it spelled out explicitly where manual checks or periodic disassembly are unavoidable, and how you do that quickly and the same way every time.

Shear and sequence: quality becomes predictable when your line is, too

With mayo, more mixing isn’t automatically better. Too much shear can change the structure and add extra heat. And if dosing or sequence shifts, you’ll see it quickly in viscosity and stability.

Cleanability helps here indirectly but in a very practical way: a line that’s clean and truly drains prevents variation from residual product, leftover water, or dilution at start-up. That makes measurements like viscosity and temperature more comparable between batches, and adjustments say more about your process than about what came along from the previous run.

How to make the choice fit your production

Link design choices to how you actually run. With frequent product changeovers or short runs, fast, repeatable CIP and minimal hold-up usually deliver the most: less time between batches and less product loss at start-up. If you run long campaigns with few changeovers, you can put more emphasis on capacity and energy use, as long as the line delivers the same cleaning result every time.

Include cleaning in your business case as a fixed time and cost item: water, chemicals, energy, labor, downtime, and product loss at start-up. That way you compare capacity based on what you need in practice to keep running stable and repeatable.