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Title:
Primerjava klasičnega in conskega komisioniranja s pomočjo avtonomnih vozil
Authors:
ID
Brković, Gordana
(Author)
ID
Lerher, Tone
(Mentor)
More about this mentor...
ID
Marolt, Jakob
(Comentor)
Files:
UN_Markovic_Gordana_2021.pdf
(1,12 MB)
MD5: 2502AE7B04B557C3CAD2C908FEAA9E37
PID:
20.500.12556/dkum/814a40a4-17d4-4013-a56f-23534a113c87
Language:
Slovenian
Work type:
Bachelor thesis/paper
Organization:
FL - Faculty of Logistic
Abstract:
V diplomskem delu raziskujemo pretočno zmogljivost v primerih klasičnega in conskega komisioniranja s pomočjo avtonomnih vozil. Teoretično izhodišče zajema sprejem, uskladiščenje, komisioniranje in odpremo blaga. S pomočjo SWOT analize smo analizirali vpeljavo conskega komisioniranja s pomočjo AMR robotov in z vzročno posledičnim diagramom prikazali kaj so vzroki in posledice problema. S simulacijo smo raziskali pretočno zmogljivost klasičnega komisioniranja in conskega komisioniranja s pomočjo AMR robotov v programskem okolju Matlab. V simulaciji smo ohranjali konstantno velikost skladišča, hitrosti objektov, čas komisioniranja in odpreme blaga. Pri klasičnem komisioniranju smo spreminjali število komisionarjev v skladišču. Pri conskem komisioniranju smo spreminjali število AMR robotov in število con v skladišču. V vsaki coni je deloval en komisionar. Simulirali smo čas izvedbe stotih naročil za oba načina komisioniranja. S primerjavo obeh simulacij smo prišli do zaključka, da dosegamo v danem skladišču višjo pretočno zmogljivost s klasičnem komisioniranju. Pretočno zmogljivost klasičnega in conskega komisioniranja s pomočjo AMR robotov smo ovrednotili še z ekonomskega vidika, kjer smo prav tako ugotovili, da v danem skladišču dosegamo nižje letne stroške in stroške na enoto enega naročila s klasičnem komisioniranju.
Keywords:
skladiščenje
,
consko komisioniranje
,
klasično komisioniranje
,
avtonomni mobilni roboti
,
pretočna zmogljivost
Place of publishing:
Celje
Publisher:
[G. Marković]
Year of publishing:
2021
PID:
20.500.12556/DKUM-80676
UDC:
658.6
COBISS.SI-ID:
83558659
Publication date in DKUM:
04.11.2021
Views:
1132
Downloads:
81
Metadata:
Categories:
FL
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BRKOVIĆ, Gordana, 2021,
Primerjava klasičnega in conskega komisioniranja s pomočjo avtonomnih vozil
[online]. Bachelor’s thesis. Celje : G. Marković. [Accessed 23 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=80676
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Licences
License:
CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International
Link:
http://creativecommons.org/licenses/by-sa/4.0/
Description:
This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.
Licensing start date:
28.09.2021
Secondary language
Language:
English
Title:
Comparison of classical and human-robot collaboration order picking process
Abstract:
In this bachelor's degree, we focus on the throughput performance in classical and zonal order picking processes with the help of autonomous vehicles. The theoretical starting point includes the receiving, storage, order picking and dispatching of goods. We used SWOT analysis to analyze the introduction of zonal order picking with the help of AMR robots. Furthermore, a fishbone (causal) diagram illustrates the causes and consequences of the respected issue. The practical part, which focuses on simulation analysis and was made in the Matlab program, shows the throughput performance of both order picking variants. In the simulation, we maintained constant warehouse size, facility speeds, order picking, and shipping times in the simulation, respectively. The main variable in the case of classical order picking was the number of order pickers in the warehouse. On the other hand, the main variables in zone order picking were the number of AMR robots used and the number of zones in the warehouse, whilst the number of order pickers and their designated zones remained the same. In both cases, the simulation gave us the result of order picking times of hundreds of orders. In the follow-up, we defined the number of orders that an individual order picking case achieved in one hour and analyzed the obtained results from an economic point of view. By comparing the two simulations, we concluded that we reach higher throughput capacity in a given warehouse with classic order picking.
Keywords:
warehousing
,
zoning
,
classic order picking
,
autonomous mobile robots
,
flow capacity
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