Measured too late or not at all
Quality, moisture, concentration or state is known only after the lab or the next inspection, so the process is corrected after the fact. Often it can be computed continuously from the signals that are already there.
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Dr. Rafał Noga
Waldstr. 3
94149 Kößlarn
Germany
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Phone: +49 175 617 6792
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DE457893621
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Dr. (doctorate awarded in Spain)
Responsible for content according to § 55 Abs. 2 RStV: Dr. Rafał Noga (address as above).
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Dr. Rafał Noga
Waldstr. 3, 94149 Kößlarn, Germany
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For plants, machines and products where something important is only known late, adjusted by hand or run with a large safety margin — in process industry, food and beverages, energy, machine building and anything that flies. In five working days the diagnosis answers whether a computational model of your process solves it, what it would bring and what it would take.
Book a free 30-minute callEUR 4,500 fixed price · 5 working days · remote
A small first step
You already see the symptom: a lab value that comes too late, a batch corrected twice, energy spent on margin, a schedule made by feel, a new machine that does not behave like the old one. What is not yet clear is whether the cause lies in the measurement, the model, the control or the way the plant is run.
The work is remote, fixed in scope and deliberately narrow. I look at the data you already have, separate the real cause from the noise and say plainly what the next step is — or that there is none worth paying for.
Not a generic report: a fast, technically sound answer to one question that matters to you.
Dr. Rafał Noga, control and optimisation since 2007 – helium cooling at CERN, wind turbines at IAV, flight automation at SkySails. Case studies
An important quantity is measured only in the lab or not at all (moisture, viscosity, fill level, gas quality, wear); the plant is adjusted by hand or run with a safety margin because nobody knows its state exactly; energy prices, storage and orders change the best way to run it every day; a new plant, machine or product generation asks more than the proven concept delivers; or the know-how sits with a single person.
The data you already have: measurement logs, lab values, setpoints and alarms, recipes or schedules, drawings and the existing control. Then the question which quantities can be computed from these data, and where measurement, model or control set the limit.
A one-page summary for management, a technical report for your team and a results meeting. The report answers: does a computed measurement, a better control or an optimised way of running pay off here, roughly what would it bring, what are the risks, and what effort would follow.
A clear decision: carry on with small changes, improve measurement and data first, build a model or a control as a project — freelance or through temporary agency work — or leave it, because it does not pay.
no operating data exist or only a device needs replacing.
Quality, moisture, concentration or state is known only after the lab or the next inspection, so the process is corrected after the fact. Often it can be computed continuously from the signals that are already there.
Extra time, temperature, energy or fill quantity is added to be safe. The margin costs every day; a model that knows the state lets you take most of it back without risk.
Batch order, energy schedule, storage, routes or shifts are planned by experience. With prices and orders changing daily, numerical optimisation finds the cheaper plan within all limits.
A new plant, machine or aircraft, other raw materials, tighter specifications or new rules — and what worked before is no longer enough.
Bring the situation, the plant or product and the main symptom. A short call usually settles whether it fits.
Book a free 30-minute call →