Multi Skilled Staff Scheduling with Simulated Annealing

In this thesis, a model for a staff scheduling problem within a multi skilled environment is constructed. It is shown that a cost optimal planning can be obtained by Simulated Annealing. The resulting algorithm is analyzed and applied to a toy example and a scheduling problem of a Dutch railway construction company.