This thesis aims to solve the problem of optimizing the allocation of hardware in industrial
FEM problem-solving|a problem faced by, e.g., truck manufacturer Scania,
which has requested this thesis and has provided some relevant data. The objective
function to be minimized is taken to be the total processing time of a given FEM job
distribution. Constraints include the available hardware and the number of accessible
license tokens - the latter being the "currency" required to run the problem-solving
software. The optimization problem is nonlinear and nonconvex and ought to be
solved by use of a suitable algorithm. While the focus of this thesis is on modeling
and problem formulation, a search for a global optimal solution was performed by
use of MATLAB R. It is concluded that although the model and problem formulation
include several areas of improvement, this thesis may hopefully contribute to
streamlining Scania's FEM problem-solving process.
2014. , 29 p.