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Optimal Allocation of Hardware in Industrial FEM Problem-Solving.
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.).
2014 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

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.

Place, publisher, year, edition, pages
2014. , 29 p.
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-147982OAI: diva2:733584
Available from: 2014-07-10 Created: 2014-07-10 Last updated: 2014-07-10Bibliographically approved

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Julius Engelsöy kandidatexamensarbete inom teknisk fysik, inst för matematik, KTH.(327 kB)78 downloads
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