Technical and economic assessment
Define the problem, assess potential value, review available data and set success criteria.
Industrial optimization consulting · Québec
Understand, predict and optimize industrial processes.
We combine physics-based simulation, industrial data and machine learning to improve yield and product quality.
- Physics and simulation
- Industrial data
- Machine learning
About
Models grounded in how your processes work.
InduMetrIQ supports process industries in Québec. We combine physical laws, simulations and plant-floor measurements in hybrid models that we validate against experimental or production data.
We connect process settings to product structure, properties and performance to identify influential settings, compare scenarios and manage variability.
- Reduce the number of trials
- Accelerate scale-up
- Improve yield
- Improve quality control
Expertise
From assessment to operational tools.
Engage us for a specific technical need or combine services into a single project.
Data acquisition and structuring
Identify useful measurements, organize sensor, trial and production data, and assess data quality.
Modelling and simulation
Combine physics-based models, numerical simulation and machine learning, then validate predictions against relevant data.
Design of experiments and optimization
Prioritize the most informative trials, compare scenarios and identify operating windows that meet production constraints.
Deployment and monitoring
Integrate a tool into your operations, train your teams, and plan for performance monitoring and model updates.
Methodology
Start with a focused feasibility study.
Start with a practical question and build on the results of each stage. The work can lead to a digital twin when the application warrants it.
Discuss an initial assessmentScope
Define the scope, the data needed and the success criteria. The assessment gives your team a basis for deciding whether to proceed.
Validate
Build a prototype, compare predictions against measurements and establish where the model is reliable.
Optimize
Design experiments, compare scenarios and measure gains against indicators agreed on with your team.
Deploy
Integrate the model into your operations, train users and establish how it will be monitored.
Industries
Where this approach applies
Examples of questions hybrid modelling can help answer.
Polymers and materials
Connect formulations and processing conditions to product microstructure and properties.
Metallurgy and minerals
Explore how thermal or mechanical settings affect yield, energy consumption and quality.
Chemicals and life sciences
Assess formulation robustness, focus experimental trials and prepare for scale-up from the lab to the pilot plant.
Contact
Let’s talk about your next industrial challenge.
Need to stabilize a process, prepare for scale-up or focus your trials? Send us a message to discuss your project.