magistrsko delo
Janž Krofel (Author), Iztok Palčič (Mentor), Matjaž Iršič (Mentor), Simon Klančnik (Co-mentor)

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.;magistrska dela;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FS - Faculty of Mechanical Engineering
Publisher: [J. Krofel]
UDC: 658.511.2:004.89(043.2)
COBISS: 20858134 Link will open in a new window
Views: 1098
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Other data

Secondary language: English
Secondary title: Gorenje d. d. product line design
Secondary 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.
Secondary keywords: product line design;conjoint analysis;particle swarm optimization;
URN: URN:SI:UM:
Type (COBISS): Master's thesis/paper
Embargo end date (OpenAIRE): 2020-06-29
Thesis comment: Univ. v Mariboru, Fak. za strojništvo
Pages: XI, 84 f.
ID: 10843358