Production planning facilitated by optimal scheduling of a multi-task production cell
Research Project, 2008
– 2013
Scheduling a dynamic job shop consisting of several multi-purpose machines is a complex combinatorial problem. We will develop mathematical optimization models and study possible solution methods, both analytical and heuristic methods with the aim of developing a fast algorithm that solves this type of flexible job shop scheduling problems within an acceptable time frame so that it is possible to implement in practice.
Participants
Ann-Brith Strömberg (contact)
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
Torgny Almgren
Mathematics
Michael Patriksson
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
Karin Thörnblad
Mathematics
Collaborations
GKN Aerospace Sweden
Trollhättan, Sweden
Funding
Swedish Research Council (VR)
Funding Chalmers participation during 2008–2012
VINNOVA
Funding Chalmers participation during 2008–2013
GKN Aerospace Sweden
Funding Chalmers participation during 2008–2013
Related Areas of Advance and Infrastructure
Sustainable development
Driving Forces
Transport
Areas of Advance
Production
Areas of Advance
Basic sciences
Roots