Forsknings- och AffärsutvecklareKontakta Johan
Dynamic and stochastic environments, statistical learning, strategic and real-time decision-making
Our expertise in model building, simulation, and optimization supports in developing customized solutions for domain specific applications, including industrial production, processes, and product properties. We leverage mathematical programming, statistical learning, and simulation to aid in strategic, tactical, and real-time decision making in dynamic and stochastic environments. In addition, we help our customers identify and understand what is feasible and what is not.
The key to our approach is continuous interaction with the customer to ensure thorough understanding of the needs, proper framing of the problems, and producing the desired developments in the solutions. Our work exploits cutting-edge methods and tools for modelling, simulation, and optimization, including AI/machine learning methods and grey-box modelling. When needed, a digital twin of the product or process can be developed to enable testing/simulation or use during operation to optimize the solution.
Benefits from our approach: