
Optimisation
Get the most out of your resources. We help with data-driven optimisation and prediction.
Optimising processes, production and resources is often the key to a better business. But how do you achieve optimal results when the business landscape and technologies are constantly evolving? With advanced data analysis, mathematical models and modern optimisation techniques, we help you understand, predict and optimise your processes.
Data-driven optimisation
We use data and mathematical models to identify and exploit new optimisation opportunities in your business. Whether you want to improve production efficiency, optimise pricing, or streamline operations, we help to:
- Analyse and map optimisation opportunities based on both raw operating figures and historical data.
- Formulate, set up and solve concrete optimisation problems based on actual data or using advanced simulation models (e.g., HPC).
- Implement solutions that can monitor and continuously improve performance.
Predictive modelling, predictive maintenance
Optimal decisions require a look into the future:
- We develop models that can estimate the outcomes of key parameters, e.g., production, demand, or machine breakdowns.
- Predictive maintenance enables you to maintain machines and systems before failures occur, reducing costs and production downtime by planning maintenance based on actual risks.
- We help you select and collect the right data (from sensors, systems, or users) so that your models become as precise and robust as possible.
Optimal control
Effective control requires constantly reacting correctly to new information. Through optimal control, we develop solutions that:
- Adjust and control processes automatically, so you always operate close to the optimum.
- Integrate measurements and models in real-time, ensuring resources are distributed in the best possible way.
- Are particularly well-suited for complex systems such as production lines, energy management, or advanced logistics.
From data to action
Whether your optimisation is based on raw, unstructured data, existing production systems, or advanced simulations and models, we help you connect data, predictions, and concrete optimisation tools. We work cross-disciplinary so that the solutions can both be anchored in your daily operations and lift your business to the next level.
We have technical experience with:
- Linear and non-linear programming, integer programming, and combinatorial optimisation
- Black-box optimisation, including Bayesian optimisation
- Simulation-based optimisation (including the use of HPC or digital twins)
- Model predictive control and optimal control theory
- Estimation and parameter fitting, calibration of models
- Predictive analytics and forecasting models
- Data mining and pattern recognition as preparation for optimisation
Want to hear more about how we can optimise your business? We offer a free initial consultation and help you move forward, regardless of your current maturity within data and optimisation.