Application domains and industrial collaborations
The ROC teams expertise in solving combinatorial optimization problems in three major application areas: space, transportation/production/logistics and energy, inline with the two existing axis "Space" and "Energy" at LAAS-CNRS and the future "Factory of the Future" and "Mobility" axis.
Space and aeronautics applications
Through contracts with CNES, Airbus and Thales Alenia Space, the team develops many applications for space activities. The teams obtained results in resource management in telecommunication or earth observation satellite and also related to optimization of scientific space experiments (namely in the ROSETTA project). The team also worked on control problems, such as the the spatial rendezvous problems and obtained a new precise analytical formula for the probability of collision of two objects.
Scheduling expériments on a comet for the ROSETTA project
Efficient and accurate evaluation of collision probability
The ROADEF 2016 inventory routing challenge proposed by Air Liquide
Transportation, production and logistics
Passenger and freight transportation face new challenges, linked to increase in transportation demand and the possibility of using various sources of data available in real time to optimize its management. We are involved in an ANR project with Airbus and Dassault Aviation for assembly line scheduling problems. For freight transportation, we currently work on a door-to-door transportation context, notably with the DHL company. We also carry-out research on production planning and scheduling and supply chain management, with an industrial collaboration with Volvo.
Some publications on transportation production and logistics
Optimizing energy for a feeding systems in car production
Energy optimization for a water pumping and desalination process
Energy-aware resource allocation and scheduling
The team is historically involved in resource allocation problems and production scheduling applications. Over the years the stakes of such applications have evolved towards a more responsible management of resources, in particular energy resources, inline with the LAAS research axis “ENERGY”. In production management (collaboration with VOLVO company), we aim at proposing energy-aware inventory management policies. The team had contracts with NEXTER to optimize the use of multiple sources of energy in hybrid electric vehicles and a collaboration with EDF to optimize the electricity production in hydrovalleys. We also consider power-aware scheduling techniques for embedded systems, data centers and more generally, scheduling problems under energy production and consumption constraints.
Some publications on energy-aware resource allocation and scheduling