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Title:Kompleksnost produktnih skupin v podjetju Gorenje d. d.
Authors:ID Krofel, Janž (Author)
ID Palčič, Iztok (Mentor) More about this mentor... New window
ID Iršič, Matjaž (Mentor) More about this mentor... New window
ID Klančnik, Simon (Comentor)
Files:.pdf MAG_Krofel_Janz_2017.pdf (2,17 MB)
MD5: 80321FDFF28CFCE3E1402EC362085C2E
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:Magistrsko delo opisuje proces optimizacije produktne skupine. V teoretičnem delu so opredeljeni produkti in produktne skupine. Na kratko je opisana umetna inteligenca in različni pristopi k reševanju problemov s poudarkom na optimizacijski metodi z uporabo roja delcev. Predstavljena je tudi conjoint analiza, njene značilnosti in priporočljiva izvedba. V praktičnem delu smo na realnem primeru iz podjetja Gorenje d. d. izvedli optimizacijo produktne skupine ter predstavili možne rešitve, kako doseči večji tržni delež. Najprej smo določili najpomembnejše atribute in ravni produktne skupine in z njim izvedli conjoint analizo, ter tako pridobili podatke, kako kupci vrednotijo določene atribute produktov oziroma njihovo koristnost. Dobljene podatke smo nato vstavili v algoritem optimizacijske metode ter opravili preračune.
Keywords:optimizacija produktne skupine, conjoint analiza, optimizacija z rojem delcev, Gorenje d. d.
Place of publishing:Maribor
Publisher:[J. Krofel]
Year of publishing:2017
PID:20.500.12556/DKUM-66306 New window
UDC:658.511.2:004.89(043.2)
COBISS.SI-ID:20858134 New window
NUK URN:URN:SI:UM:DK:TUDVWHEW
Publication date in DKUM:11.07.2017
Views:1924
Downloads:114
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FS
:
KROFEL, Janž, 2017, Kompleksnost produktnih skupin v podjetju Gorenje d. d. [online]. Master’s thesis. Maribor : J. Krofel. [Accessed 24 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=66306
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Secondary language

Language:English
Title:Gorenje d. d. product line design
Abstract:Master thesis describes the optimization of a product line. In the first part, we take a look at the theoretical background of what is a product, what is a product line and how can we optimize it with artificial intelligence. Furthermore, we described Conjoint analysis and the Particle swarm optimization method, because we will use it in the second part to optimize a product line. In the second part we described the current state of a market for Washing machines. Than we used Conjoint analysis to figure out the utility values for each level of four attributes, that we decided are important for the customers. With that, we could optimize the product line for Gorenje d. d. with particle swarm optimization.
Keywords:product line design, conjoint analysis, particle swarm optimization, Gorenje d. d.


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