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Title:Projektiranje in optimizacija montažne linije
Authors:ID Jurgec, Peter (Author)
ID Palčič, Iztok (Mentor) More about this mentor... New window
ID Buchmeister, Borut (Comentor)
Files:.pdf MAG_Jurgec_Peter_2014.pdf (2,17 MB)
MD5: 09874865599F49C8377CA4F7D4DADCFD
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:V nalogi je obravnavana tematika projektiranja in optimizacije montažnih linij. Cilj magistrske naloge je bil izdelati in preizkusiti nov algoritem za razmeščanje operacij montaže po delovnih mestih, ki bi poleg razmeščanja linijo tudi optimiziral. V nalogi so predstavljeni že obstoječi načini razmeščanja operacij po delovnih mestih, poleg tega je opisan tudi nov algoritem za razmeščanje operacij po delovnih mestih, ki je bil razvit v sklopu naloge in izmed vseh možnih razmestitev operacij izbere najoptimalnejšo. Za preizkus algoritma se je s pomočjo programskega jezika Python izdelal računalniški program, s katerim so se kasneje izvedli preizkusi algoritma na realnih problemih.
Keywords:razmestitev, Python, montažna linija, montaža, delovna mesta, takt montaže
Place of publishing:Maribor
Publisher:[P. Jurgec]
Year of publishing:2014
PID:20.500.12556/DKUM-45134 New window
UDC:658.515(043.2)
COBISS.SI-ID:18139926 New window
NUK URN:URN:SI:UM:DK:OMIH3WHX
Publication date in DKUM:03.11.2014
Views:2125
Downloads:284
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FS
:
JURGEC, Peter, 2014, Projektiranje in optimizacija montažne linije [online]. Master’s thesis. Maribor : P. Jurgec. [Accessed 3 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=45134
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Secondary language

Language:English
Title:Assembly line design and optimization
Abstract:Master’s thesis describes different approaches to design and optimize an assembly line. The main goal of this thesis was to invent a new algorithm which would be able to find the optimal solution for deployment of assembly operations to suitable working stations. Thesis analyses existing concepts of assembly operations deployment, but it also describes the developed algorithm which is able to identify the optimal solution to operations deployment. In order to test the algorithm a computer program was created using Python programming language and test on real problems from industry were conducted.
Keywords:layout, Python, assembly line, assembly, workstations, cycle time


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