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Title:
Optimiranje pretoka naročil v prilagodljivih obdelovalnih sistemih z genetskimi algoritmi
Authors:
ID
Pahole, Ivo
(
Author
)
ID
Ficko, Mirko
(
Author
)
ID
Drstvenšek, Igor
(
Author
)
ID
Balič, Jože
(
Author
)
Files:
http://www.dlib.si/details/URN:NBN:SI:doc-V71EPLCY
Language:
Slovenian
Work type:
Not categorized
Typology:
1.01 - Original Scientific Article
Organization:
FS - Faculty of Mechanical Engineering
Abstract:
Optimiranje pretoka naročil v prilagodljivih obdelovalnih sistemih je vedno znova zelo pereče. Poleg znanih običajnih metod optimiranja pretoka se uveljavljajo tudi nedeterministične metode. Metode optimiranja pretokov z genetskimi algoritmi spadajo med omenjene metode. V prispevku sta definirani dve prilagoditveni funkciji, ki opiseta problem optimiranja časov in stroskov izvedbe naroèila. Z metodo genetskih algoritmov je nato izvedeno iskanje taksnega pretoka, da je vrednost prilagoditveni funkcij čim manjša.
Publisher:
Association of Mechanical Engineers and Technicians of Slovenia et al.
Year of publishing:
2003
Number of pages:
str. 499-508
Numbering:
Letn. 49, št. 10
PID:
20.500.12556/DKUM-53084
UDC:
658.52.011.56:519.85
ISSN on article:
0039-2480
COBISS.SI-ID:
6944795
NUK URN:
URN:SI:UM:DK:IIRZPNV4
Publication date in DKUM:
10.07.2015
Views:
1134
Downloads:
47
Metadata:
Categories:
Misc.
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Record is a part of a journal
Title:
Strojniški vestnik
Shortened title:
Stroj. vestn.
Publisher:
Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.]
ISSN:
0039-2480
COBISS.SI-ID:
762116
Secondary language
Language:
English
Title:
Optimisation of the flow of orders in a flexible manufacturing systems
Abstract:
In this paper we propose a method of searching for the optimum order flow through a flexible manufacturing system, with respect to transport times, preparation/completion times, manufacturing times and relevant costs. The paper defines two fitness functions describing the problem of the optimisationof times and costs of the execution of order. Then, using the genetic-algorithm method, a flow is found, such that the values of the fitness functions are as small as possible.
Keywords:
flexible manufacturing systems
,
order flow
,
optimization
,
genetic algorithms
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