SINTEF Digital Scientific Computing
We focus on innovative use of mathematics and numerical methods within science and engineering. We offer leading expertise in geometry, optimization, simulation, and visualization methods.
Currently, maintenance planning in the railroad domain is predominantly performed manually and involves: Crew scheduling (assigning maintenance tasks to crews dependent on skill set) and job shop scheduling (assign time slots for vehicles to depot workstations). These activities should be synchronised and coordinated with vehicles revenue generating activity (where the vehicles are scheduled to transporting goods or passengers). Due to the substantial fixed costs involved, improved planning is expected to generate significant cost savings.
We are the research partner in Spacemaker's innovation project OptiSite. OptiSite will make Spacemaker a global leader in software tools for building design and site planning. In the project we improve and develop optimisation and AI technology to assist property development.
The goal of the SmartPower project is to demonstrate the usefulness of modern optimisation methods for demand respons applications in energy market. To this end, we develop a prototype for optimised Power Matching/load balancing in large scale Smart Grids, a highly complex optimisation problem.
Norwegian researchers make European air traffic more efficient
Many major European airports are unable to expand. This means that aircraft departures, arrivals and surface movements will have to be speeded up. A Norwegian system designed to make all airport movements more efficient is tested in Hamburg, and at Arlanda in Stockholm and Charles de Gaulle in Paris.
Optimal fixture scheduling
With help from SINTEF, the northern Norwegian company Profixio is aiming to become a world leader in fixture scheduling for handball, football and volleyball tournaments.