Our goal is to provide actors in the private and public sector with the best tools and methods to make rational decisions.
Our main expertise is mathematical modelling of complex systems and the development of practical decision support tools, both for operational and strategical use. In these areas we are internationally recognized and have a good publication record as well as tools that are actively used by the industry. Typically, we develop decision support tools that are based on a value chain and portfolio perspective. These tools are used for investment, operation and localization analyses.
We use and develop quantitative methods and models to do economic analysis within a range of different sectors. The analyses is performed on different time horizons, from long-term investment analysis to short-term profitability analysis. We focus on handling of uncertainty and risk in the economic analyses.
In most situations, the modelled process will involve some uncertain parameters. This uncertainty has to be taken into account, to minimize the negative impacts it would otherwise had on the results. For this, we first have to model the uncertainty, so we can include it in out optimization models.
The goal of optimization is to improve processes, with respect to specified criteria. For this, we have to first create a mathematical model of the process, and then use special mathematical methods to find the optimal way to control the process.
Decision support systems
We have long experience in developing decision support systems for an optimal resource usage in industry and government administration. This can be decision support both on operational and on strategic level.
Bio economics is concerned with the economics of producing and processing renewable biological land-based and marine resources, often in connection with a shift to (more) sustainable principles. We develop models for decision support for various bio economy actors, based on operations research methods, complemented by insight from disciplines such as economics, process technology, logistics, environmental science or social science research.
The health care sector has great potential for improved utilization of already scarce resources, while facing ever increasing demand from a growing population. We contribute to improved quality and resource utilization through our expertise in statistical analysis and data-driven planning.
We help in creating a modern, sustainable and greener energy system for the future. We create and apply models to handle uncertainty, profitability, emissions, and other aspects of the system, so that policy-makers and industrial actors can plan and act based on knowledge.
- Effektive verdikjeder for skogbruket i kyst-Norge
- SET-Nav – Veikart for utvikling av ren, sikker og effektiv energi i Europa
- SOPJI - Sosio-økonomisk optimal prising av jernbaneinfrastruktur
- Multi-Sharm - Day-Ahead Bidding with Multiple Short-Term Markets
- LogistEC - Improving Logistics for Energy Crops