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Simulacijska analiza intralogističnih procesov z avtonomnimi mobilnimi roboti
ID Ivanovič, Simon (Author), ID Vrabič, Rok (Mentor) More about this mentor... This link opens in a new window

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Abstract
V času hitrega tehnološkega napredka in prehoda v Industrijo 4.0 postajajo avtonomni mobilni roboti (AMR-ji) ključni del avtomatizacije logističnih procesov. AMR-ji prinašajo fleksibilnost in prilagodljivost, saj se zmorejo prilagoditi dinamičnim spremembam brez večjih strukturnih posegov. V tej magistrski nalogi se osredotočamo na določanje optimalnega števila AMR-jev za pokrivanje logističnih potreb v proizvodnem okolju podjetja. S pomočjo simulacije je analizirano, koliko procesov lahko pokrije posamezni AMR in koliko jih je potrebnih za celovito pokritje vseh logističnih operacij. Simulacija temelji na realnih parametrih in zahtevah proizvodnje. Rezultati te naloge nudijo dragocene vpoglede za optimizacijo logističnih operacij in morebitno nadaljnjo integracijo avtonomnih mobilnih robotov.

Language:Slovenian
Keywords:Avtonomni mobilni roboti (AMR-ji), Industrija 4.0, Logistični procesi, Simulacija. Proizvodno okolje, Avtomatizacija logistike
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Place of publishing:Ljubljana
Publisher:[S. Ivanovič]
Year:2023
Number of pages:XVII, 78 str.
PID:20.500.12556/RUL-153327 This link opens in a new window
UDC:007.52:621.7(043.2)
COBISS.SI-ID:186012163 This link opens in a new window
Publication date in RUL:22.12.2023
Views:636
Downloads:59
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Secondary language

Language:English
Title:Simulation Analysis of Intralogistics Processes with Autonomous Mobile Robots
Abstract:
In the era of rapid technological advancement and the transition to Industry 4.0, autonomous mobile robots (AMRs) are becoming a pivotal part of automating logistical processes. AMRs offer flexibility and adaptability, being able to adjust to dynamic changes without significant structural interventions. In this master's thesis, we focus on determining the optimal number of AMRs for covering the logistical needs in a company's production environment. Through simulation, it is analyzed how many processes a single AMR can cover and how many are needed for the comprehensive coverage of all logistical operations. The simulation is based on real parameters and production requirements. The results of this study provide valuable insights for optimizing logistical operations and potential further integration of autonomous mobile robots.

Keywords:Autonomous Mobile Robots (AMRs), Industry 4.0, Logistic Processes, Simulation. Production Environment, Logistics Automation

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