Naslov: | Analysing picking errors in vision picking systems |
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Avtorji: | ID Vidovič, Ela (Avtor) ID Gajšek, Brigita (Avtor) |
Datoteke: | https://doi.org/10.2478/jlst-2020-0006
RAZ_Vidovic_Ela_2020.pdf (672,66 KB) MD5: E1EE72C76631E9D4CA73D0B44AEACD84
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Jezik: | Angleški jezik |
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Vrsta gradiva: | Članek v reviji |
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Tipologija: | 1.01 - Izvirni znanstveni članek |
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Organizacija: | FL - Fakulteta za logistiko
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Opis: | Vision picking empowers users with access to real-time digital order information, while freeing them from handheld radio frequency devices. The smart glasses, as an example of vision picking enabler, provide visual and voice cues to guide order pickers. The glasses mostly also have installed navigation features that can sense the order picker's position in the warehouse. This paper explores picking errors in vision systems with literature review and experimental work in laboratory environment. The results show the effectiveness of applying vision picking systems for the purposes of active error prevention, when they are compared to established methods, such as paper-picking and using cart mounted displays. A serious competitor to vision picking systems are pick-to-light systems. The strong advantage of vision picking system is that most of the errors are detected early in the process and not at the customer's site. The cost of fixing the error is thus minimal. Most errors consequently directly influence order picker's productivity in negative sense. Nonetheless, the distinctive feature of the system is extremely efficient error detection. |
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Ključne besede: | order picking, storage operations, warehousing, smart glasses, error prevention, inventory management, intralogistics |
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Status publikacije: | Objavljeno |
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Verzija publikacije: | Objavljena publikacija |
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Datum objave: | 20.02.2020 |
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Leto izida: | 2020 |
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Št. strani: | str. 90-100 |
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Številčenje: | Vol. 11, iss. 1 |
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PID: | 20.500.12556/DKUM-90101 |
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UDK: | 005.5 |
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COBISS.SI-ID: | 513089341 |
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DOI: | 10.2478/jlst-2020-0006 |
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ISSN pri članku: | 2232-4968 |
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Datum objave v DKUM: | 22.08.2024 |
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Število ogledov: | 83 |
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Število prenosov: | 4 |
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Metapodatki: | |
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Področja: | Ostalo
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