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Title:Optimizacija razmestitve delovnih mest z uporabo tradicionalnih metod in programskega modela v pythonu : magistrsko delo
Authors:ID Planinc, Gašper (Author)
ID Buchmeister, Borut (Mentor) More about this mentor... New window
ID Nedelko, Zlatko (Mentor) More about this mentor... New window
Files:.pdf MAG_Planinc_Gasper_2026.pdf (2,20 MB)
MD5: 12A2679B40F2F1240AD4620A06900DC0
 
.zip MAG_Planinc_Gasper_2026.zip (361,32 KB)
MD5: 62D3F75ECD949C30DDCBF78E35D53FCE
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:V magistrskem delu je obravnavana optimizacija razmestitve delovnih mest v proizvodnem sistemu za izdelavo gonil. Za analizo materialnega toka in optimizacijo razmestitve so bile uporabljene OD–KAM matrika, trikotna metoda razmestitve, metoda zamenjav ter računalniško podprt model v programskem jeziku Python. Poseben poudarek je namenjen uporabi umetne inteligence (UI) pri razvoju optimizacijskega modela. Rezultati optimizacije so pokazali zmanjšanje skupnega transportnega dela in posledično transportnih stroškov za približno 35 %, kar potrjuje učinkovitost uporabljenih metod pri optimizaciji proizvodnih sistemov. Primerjava rezultatov je pokazala, da je računalniško podprt model v programskem jeziku Python dosegel primerljive rezultate kot ročno izvedeni izračuni, pri čemer sta oba pristopa določila enako optimalno razmestitev delovnih mest. Raziskava je pokazala, da lahko uporaba programskih orodij in umetne inteligence bistveno skrajša čas izvajanja optimizacijskih postopkov ter omogoča učinkovitejšo analizo različnih variant razmestitve proizvodnih sistemov.
Keywords:Optimizacija razmestitve, proizvodni sistem, OD–KAM, trikotna metoda, metoda zamenjav, Python, umetna inteligenca
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[G. Planinc]
Year of publishing:2026
Number of pages:1 spletni vir (1 datoteka PDF (XI, 75 f.))
PID:20.500.12556/DKUM-98794 New window
UDC:658.512:004.43(043.2)
COBISS.SI-ID:291912963 New window
Publication date in DKUM:27.08.2026
Views:151
Downloads:3
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FS
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:08.07.2026

Secondary language

Language:English
Title:Optimization of workplace layout using traditional methods and a python-based model
Abstract:This master's thesis addresses the optimization of workplace layout in a production system for the manufacturing of gear units. The analysis of material flow and layout optimization was performed using the OD–KAM matrix, the triangular layout method, the exchange method and a computer-supported model developed in the Python programming language. Special emphasis was placed on the use of artificial intelligence (AI) in the development of the optimization model. The optimization results showed a reduction in total material handling work and consequently transportation costs by approximately 35%, confirming the effectiveness of the applied methods in the optimization of production systems. A comparison of the results demonstrated that the computer-supported Python model achieved results comparable to manually performed calculations, while both approaches identified the same optimal workplace layout. The research further showed that the use of software tools and artificial intelligence can significantly reduce the time required for optimization procedures and enable a more efficient analysis of different production system layout alternatives.
Keywords:layout optimization, production system, OD–KAM, triangular method, exchange method, Python, artificial intelligence


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