diplomsko delo
Jernej Gabrijel (Author), Matjaž Roblek (Mentor)

Abstract

Iz preteklih raziskovanj in dela na področju integracije umetne inteligence v proizvodno industrijo je jasno, da ima implementacija UI metodologij strojnega učenja jasne prednosti. Hkrati pa ugotavljamo, da obstajajo na tem področju tudi mnoge priložnosti za izboljšave in nadgradnjo. V zaključnem delu smo ugotavljali, ali lahko uporaba UI prispeva pozitivne učinke na delo planerjev v proizvodnji. To ugotavljanje temelji na primerjavi razlik med predvidevanji na podlagi ročnega planiranja in dejansko realizacijo ter s planiranjem s pomočjo UI in realizacijo planiranega. Namen zaključnega dela je ugotavljanje praktičnosti in zanesljivosti umetne inteligence na področju planiranja in razporejanja.

Keywords

Umetna inteligenca;stiskanje in brizganje;planiranje in razporejanje proizvodnje;delo planerjev;optimizacija;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UM FOV - Faculty of Organizational Sciences
Publisher: [J. Gabrijel]
UDC: 658.5
COBISS: 191649283 Link will open in a new window
Views: 24
Downloads: 1
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Other data

Secondary language: English
Secondary title: The effects of using artificial intelligence in production planning of stamping and moulding
Secondary abstract: Out of recent studies and further works in the field of artificial intelligence, implementing AI methodologies of computer learning into the production industry show clear advantages. We are also learning that many opportunities for improvement in this field still exist. In this paper we have attempted to better understand whether integrating AI can have a positive effect on the production planers’ work. The effects of AI usage are based on the differences between manual planning and the actualization and comparing that with the plans that have been helped with AI usage and the realization of those plans. This paper's purpose is understanding the practicality and reliability of AI in the field of planning and scheduling.
Secondary keywords: Umetna inteligenca;Načrtovanje proizvodnje;Univerzitetna in visokošolska dela;
Type (COBISS): Bachelor thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za organizacijske vede
Pages: V, 41 f.
ID: 22906722