model of designing of the flexible manufacturing
system (FMS) in one or multiple rows with genetic
algorithms (GAs). First the reasons for studying the
layout of devices in the FMS are discussed. After
studying the properties of the FMS and perusing the
methods of layout designing the genetic algorithms
methods was selected as the most suitable method for
designing the FMS. The genetic algorithm model, the
most suitable way of coding the solutions into the
organisms and the selected evolutionary and genetic
operators are presented. In the model, the automated
guided vehicles (AGVs) for transport between components
of the FMS were used. In this connection, the most
favourable number of rows and the sequence of devices
in the individual row are established by means of
genetic algorithms. In the end the test results of the
application made and the analysis are discussed.
%0 Journal Article
%1 ficko:2004:JMPT
%A Ficko, Mirko
%A Brezocnik, Miran
%A Balic, Joze
%D 2004
%J Journal of Materials Processing Technology
%K (FMS), Facility Flexible Optimisation, algorithms, genetic layout manufacturing programming, systems
%P 150--158
%R doi:10.1016/j.jmatprotec.2004.09.012
%T Designing the layout of single- and multiple-rows
flexible manufacturing system by genetic algorithms
%V 157-158
%X model of designing of the flexible manufacturing
system (FMS) in one or multiple rows with genetic
algorithms (GAs). First the reasons for studying the
layout of devices in the FMS are discussed. After
studying the properties of the FMS and perusing the
methods of layout designing the genetic algorithms
methods was selected as the most suitable method for
designing the FMS. The genetic algorithm model, the
most suitable way of coding the solutions into the
organisms and the selected evolutionary and genetic
operators are presented. In the model, the automated
guided vehicles (AGVs) for transport between components
of the FMS were used. In this connection, the most
favourable number of rows and the sequence of devices
in the individual row are established by means of
genetic algorithms. In the end the test results of the
application made and the analysis are discussed.
@article{ficko:2004:JMPT,
abstract = {model of designing of the flexible manufacturing
system (FMS) in one or multiple rows with genetic
algorithms (GAs). First the reasons for studying the
layout of devices in the FMS are discussed. After
studying the properties of the FMS and perusing the
methods of layout designing the genetic algorithms
methods was selected as the most suitable method for
designing the FMS. The genetic algorithm model, the
most suitable way of coding the solutions into the
organisms and the selected evolutionary and genetic
operators are presented. In the model, the automated
guided vehicles (AGVs) for transport between components
of the FMS were used. In this connection, the most
favourable number of rows and the sequence of devices
in the individual row are established by means of
genetic algorithms. In the end the test results of the
application made and the analysis are discussed.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Ficko, Mirko and Brezocnik, Miran and Balic, Joze},
biburl = {https://www.bibsonomy.org/bibtex/20f804dd2b18e3c7007792654e67bb282/brazovayeye},
doi = {doi:10.1016/j.jmatprotec.2004.09.012},
interhash = {9551a3ea5263b3982d0149b8a18687c6},
intrahash = {0f804dd2b18e3c7007792654e67bb282},
issn = {0924-0136},
journal = {Journal of Materials Processing Technology},
keywords = {(FMS), Facility Flexible Optimisation, algorithms, genetic layout manufacturing programming, systems},
month = {20 December},
notes = {Special issue {"}Achievements in Mechanical and
Materials Engineering Conference{"} Edited by L. A.
Dobranski},
pages = {150--158},
timestamp = {2008-06-19T17:39:36.000+0200},
title = {Designing the layout of single- and multiple-rows
flexible manufacturing system by genetic algorithms},
volume = {157-158},
year = 2004
}