Industrial AI and Advanced Process Control

MPC is an advanced control strategy that uses a mathematical model of your process to predict future behavior and optimize control actions. It excels at handling multi-variable systems with constraints, delivering better performance than traditional PID control.

Timelines vary by scope. A diagnostic phase typically takes 2-4 weeks. A full proof-of-concept can be completed in 2-3 months. I work in agile 2-week sprints with deliverables at each stage.

Published reference implementations report: 17% less primary energy in simulation versus the previous rule-based control of a Swiss office building (ETH Zurich OptiControl-II, IEEE TCST 2016), precalciner temperature variability reduced by more than 50% in a cement plant (Holcim Lägerdorf / ABB, 2008), and the mean slab-temperature error of a steel reheating furnace cut from 13.0 K to 0.9 K (Dillinger / TU Wien, 2013). Payback depends on your energy and quality costs and on the starting point, so I estimate it per case rather than quoting a generic range. Every process is different — a 30-minute technical fit call is the fastest way to estimate the realistic opportunity for your system.

Both. Many phases can be done remotely, including data analysis, model development, and simulation. On-site presence is valuable for commissioning, operator training, and initial diagnosis.

Process industry (chemicals, pharma, food & beverage), manufacturing, machine builders, and energy generation. Any industry with complex, multi-variable processes can benefit.

Yes — a mutual NDA is standard practice and I sign before any data or process details are shared. I also work comfortably in export-controlled and security-sensitive environments.

I structure every engagement in phases with clear deliverables and exit points. If a phase shows the expected benefit is not achievable, I say so — and stop — rather than continuing to invoice. A failed proof-of-concept early is far cheaper than a failed deployment late.

Yes. I work at the data layer — if your historian or data infrastructure exports standard formats (OPC-UA, CSV, REST), I can interface with it regardless of DCS or SCADA vendor. PLC-level and vendor-specific control system integration requires collaboration with your automation team or vendor.

The code and models developed remain the intellectual property of Dr. Noga. The client receives a perpetual use license included in the development price. Exclusive licenses and non-compete agreements (NCA) are available and negotiable. Details are defined in the contract.

Primarily alone — which means senior-level attention on every task, no junior handoffs, and no account-manager overhead. For projects requiring additional capacity, I have a trusted network of specialist engineers I can bring in under the same quality and confidentiality standards.