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

التفاصيل البيبلوغرافية
العنوان: Genetik Algoritmalar ile Tesis Yerleşimi Tasarımı ve Bir Uygulama = Facility Layout Design with Genetic Algorithms and an Application
المؤلفون: Cem DUMAN, Gülfem TUZKAYA, Bahadır GÜLSÜN
المصدر: Doğuş Üniversitesi Dergisi, Vol 10, Iss 1, Pp 73-87 (2009)
بيانات النشر: Dogus University, 2009.
سنة النشر: 2009
مصطلحات موضوعية: Tesis Yerleşim Tasarımı, lcsh:Commerce, lcsh:HB71-74, Genetic Algorithms, lcsh:Economic theory. Demography, lcsh:Economics as a science, lcsh:Business, Karesel Atama Problemi, lcsh:HB1-3840, lcsh:HF1-6182, Quadratic Assignment Problem, lcsh:HF5001-6182, Facility Layout Design, Genetik Algoritmalar
الوصف: 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.
اللغة: English
تدمد: 1308-6979
1302-6739
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doajarticles::c9a6e8c703d7ddf1b84d2780aa5a33e6
http://journal.dogus.edu.tr/index.php/duj/article/view/59
Rights: OPEN
رقم الانضمام: edsair.doajarticles..c9a6e8c703d7ddf1b84d2780aa5a33e6
قاعدة البيانات: OpenAIRE