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Naslov:Indoor positioning system based on bluetooth low energy technology and a nature-inspired optimization algorithm
Avtorji:ID Bencak, Primož (Avtor)
ID Hercog, Darko (Avtor)
ID Lerher, Tone (Avtor)
Datoteke:.pdf Indoor_Positioning_System_Based_on-Bencak-2022.pdf (2,42 MB)
MD5: 41C6D9F2F0C5B66C6C3498468A82A8A6
 
URL https://www.mdpi.com/2079-9292/11/3/308
 
Jezik:Angleški jezik
Vrsta gradiva:Znanstveno delo
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FL - Fakulteta za logistiko
FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
FS - Fakulteta za strojništvo
Opis:Warehousing is one of the most important activities in the supply chain, enabling competitive advantage. Effective management of warehousing processes is, therefore, crucial for achieving minimal costs, maximum efficiency, and overall customer satisfaction. Warehouse Management Systems (WMS) are the first steps towards organizing these processes; however, due to the human factor involved, information on products, vehicles and workers may be missing, corrupt, or misleading. In this paper, a cost-effective Indoor Positioning System (IPS) based on Bluetooth Low Energy (BLE) technology is presented for use in Intralogistics that works automatically, and therefore minimizes the possibility of acquiring incorrect data. The proposed IPS solution is intended to be used for supervising order-picker movements, movement of packages between workstations, and tracking other mobile devices in a manually operated warehouse. Only data that are accurate, reliable and represent the actual state of the system, are useful for detailed material flow analysis and optimization in Intralogistics. Using the developed solution, IPS technology is leveraged to enhance the manually operated warehouse operational efficiency in Intralogistics. Due to the hardware independence, the developed software solution can be used with virtually any BLE supported beacons and receivers. The results of IPS testing in laboratory/office settings show that up to 98% of passings are detected successfully with time delays between approach and detection of less than 0.5 s.
Ključne besede:warehousing, indoor positioning systems, bluetooth low energy, particle swarm optimization, nature–inspired algorithm, intralogistics
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:30.11.2021
Datum sprejetja članka:14.01.2022
Datum objave:19.01.2022
Založnik:MDPI AG
Leto izida:2022
Št. strani:Str. 1-27
Številčenje:Letn. 11, št. zvezka 3
PID:20.500.12556/DKUM-85048 Novo okno
UDK:338
COBISS.SI-ID:94602499 Novo okno
DOI:10.3390/electronics11030308 Novo okno
ISSN pri članku:2079-9292
Avtorske pravice:© 2022 by the authors
Datum objave v DKUM:17.08.2023
Število ogledov:432
Število prenosov:543
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
:
BENCAK, Primož, HERCOG, Darko in LERHER, Tone, 2022, Indoor positioning system based on bluetooth low energy technology and a nature-inspired optimization algorithm. Electronics [na spletu]. 2022. Vol. 11, no. zvezka 3, p. 1–27. [Dostopano 28 marec 2025]. DOI 10.3390/electronics11030308. Pridobljeno s: https://dk.um.si/IzpisGradiva.php?lang=slv&id=85048
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Gradivo je del revije

Naslov:Electronics
Skrajšan naslov:Electronics
Založnik:MDPI
ISSN:2079-9292
COBISS.SI-ID:523068953 Novo okno

Gradivo je financirano iz projekta

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:L5-2626
Naslov:Skladiščenje 4.0 – Model integracije skladiščno-komisionirnih in robotskih sistemov
Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Program financ.:ARRS Young Researcher Program
Številka projekta:Research activity agreement 2018/2019

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:skladiščenje, sistemi za pozicioniranje v zaprtih prostorih, optimizacija z roji delcev, algoritmi po vzorih iz narave, intralogistika


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