Mirko Ficko (Author), Miran Brezočnik (Author), Jože Balič (Author)

Abstract

Znano je, da je mogoče z dobro razmestitvijo naprav v prilagodljivem obdelovalnem sistemu zmanjšati spremenljive prenosne stroške in s tem skupne izdelovalne stroške in si tako zagotoviti konkurenčno prednost. Do sedaj so bile vpeljane različne metode razporejanja, vendar problem se ni zadovoljivo rešen. V prispevku je opisana metoda za razporejanje strojev in naprav v prilagodljivem obdelovalnem sistemu z metodo genetskih algoritmov. Predpostavljena je črtna razporeditev enot prilagodljivega obdelovalnega sistema. S predlagano metodo je mogoče poiskati optimalno razporeditev glede na postavljeno ciljno funkcijo, ki zajema spremenljive stroške prenosa.

Keywords

algoritmi genetski;genetski algoritmi;obdelovalni sistemi;postrojenje;prenos notranji;razporeditve strojev;sistemi obdelovalni prilagodljivi

Data

Language: Slovenian
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FS - Faculty of Mechanical Engineering
Publisher: Association of Mechanical Engineers and Technicians of Slovenia et al.
UDC: 658.286.2:519.85
COBISS: 8024603 Link will open in a new window
ISSN: 0039-2480
Parent publication: Strojniški vestnik
Views: 238
Downloads: 76
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary title: ǂA ǂmodel for forming a flexible manufacturing system using genetic algorithms
Secondary abstract: It is well-known that with a proper layout of devices in a flexible manufacturing system it is possible to reduce the variable transport costs and, consequently, the total manufacturing costs, and thus secure a competitive advantage. So far, a variety of methods of layout have been introduced, but the problem has not been satisfactorily solved. This paper describes a method of placing machines and devices in a FMS using a genetic algorithm method. The line layout of the units of the FMS system is assumed. With the proposed method it is possible to ensure optimum layout with respect to the set target function including variable transport costs.
Secondary keywords: flexible manufacturing systems;genetic algorithms;transport;placement methods;placing machines;sistemi obdelovalni prilagodljivi;algoritmi genetski;prenos notranji;razporeditve strojev;
URN: URN:NBN:SI
Type (COBISS): Not categorized
Pages: str. 28-40
Volume: ǂLetn. ǂ51
Issue: ǂšt. ǂ1
Chronology: 2005
ID: 1743582