OPSTRA
OPSTRA - Optimal Scheduling for next-generation intelligent TRAnsport systems is a pure research project devoted to develop new mathematical optimization models and algorithms for job-shop scheduling problems arising in transportation. The...
OPSTRA - Optimal Scheduling for next-generation intelligent TRAnsport systems is a pure research project devoted to develop new mathematical optimization models and algorithms for job-shop scheduling problems arising in transportation. The...
The vision of Sharing Neighbourhoods is digitalization towards a socially inclusive and caring neighbourhood. We will investigate the effects of digital collaborative sharing platforms on the social interactions in neighbourhoods, and the new...
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...
SINTEF was the research partner in the innovation project OptiSite, led by Spacemaker (now part of Autodesk). The project contributed to developing Spacemaker from a start-up idea to an established product with international presence.
Good control when feeding farmed salmon in sea cages is essential. The growth potential is not met with too little feed, while too much feed is bad for both economy and environment.
Greening the Fleet – Sustainability transitions in the maritime shipping sector.
The focus of ANALYST is the combination of LR B-spline methods and AI addressing big data sets with a mathematical structure.
AutoDrive objectives aimed for the design of (i) fail-aware (self-diagnostics), (ii) fail-safe, (iii) fail-operational (HW and SW redundancy) electronic components and systems architecture that enable the introduction of automated driving in all car...
The EMMY Project is an interdisciplinary and mixed methods comparative study on impact of welfare systems on mental wellbeing among the oldest old in Finland, Italy, Norway and Spain.