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Genetik Algoritmalar ile Tesis Yerleşimi Tasarımı ve Bir Uygulama = Facility Layout Design with Genetic Algorithms and an Application

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Author(s): Bahadır GÜLSÜN | Gülfem TUZKAYA | Cem DUMAN

Journal: Dogus University Journal
ISSN 1302-6739

Volume: 10;
Issue: 1;
Start page: 73;
Date: 2009;
Original page

Keywords: Tesis Yerleşim Tasarımı | Genetik Algoritmalar | Karesel Atama Problemi | Facility Layout Design | Genetic Algorithms | Quadratic Assignment Problem

ABSTRACT
Design of the facility layouts have important effects on the operational productivity and efficiency of a facility. Facility layout design problems (FLDP) are the problems that should consider the flow relations between departments and in the literature the use of Quadratic Assignment Problems (QAP) for these kinds of problems is very frequently applied. Since, for QAP, the FLDP is NP-Hard, in this study, Genetic Algorithms (GA) is utilized. The methodology is coded via Visual Studio C++ 6.0 and the program is called LO (Layout Optimizer). The methodology is tested with QAP library test problems and the difference between LO results and the best known results are less than %1 for each problem. The methodology is applied to a supplier in the structural electricity materials manufacturing sector and a %41 decrease in the transportation costs is expected with the redesign of the facility.
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