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Title:The influence of human age on order picking performance with collaborative robots : Experimental Insights
Authors:ID Ranasinghe, Thilini (Author)
ID Zhang, Minqi (Author)
ID Grosse, Eric (Author)
ID Loske, Dominic (Author)
ID Marolt, Jakob (Author)
ID Lerher, Tone (Author)
Files:.pdf Ranasinghe_2025_The_influence_of_human_age.pdf (1,40 MB)
MD5: 36E4B45A8620423FA43915170EAAD5B6
 
URL https://doi.org/10.1016/j.procs.2025.01.152
 
Language:English
Work type:Scientific work
Typology:1.08 - Published Scientific Conference Contribution
Organization:FL - Faculty of Logistic
Abstract:This study investigates the impact of integrating autonomous mobile robots (AMRs) into order picking, with a particular focus on how age influence human performance. Our research employs a multimethod approach, combining descriptive statistics, ANOVA, and post-experiment survey data analysis to evaluate the effects of AMR-assisted picking compared to manual cart picking. The results demonstrate that AMRs significantly reduce order-picking times (OPTs) and variability in performance across both age groups, with the older group showing an OPT improvement of 23.68%, and the younger group 29.40%. The ANOVA revealed that age significantly influenced OPTs. Additionally, the survey data indicated that participants perceived AMRs as simple to use and collaborative, with a strong positive correlation between AMR positioning and collaboration experience. These findings highlight the benefits of AMRs in enhancing efficiency and consistency in warehouse operations. The study underscores the importance of considering human factors in the design and implementation of robotic systems, paving the way for a human-centric Industry 5.0. Future research should attempt to achieve empirical data from real industrial operations, with the focus on larger sample sizes and the long-term effects of AMR integration on job satisfaction and overall performance.
Keywords:order picking, aging, autonomous mobile robots, experimental study
Publication status:Published
Publication version:Version of Record
Publication date:25.02.2025
Publisher:Elsevier
Year of publishing:2025
Number of pages:Str. 902-911
Numbering:Letn. 253
PID:20.500.12556/DKUM-92281 New window
UDC:659
ISSN on article:1877-0509
COBISS.SI-ID:229017859 New window
DOI:10.1016/j.procs.2025.01.152 New window
Publication date in DKUM:27.03.2025
Views:178
Downloads:8
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a proceedings

Title:International conference on industry sciences and computer science innovation
COBISS.SI-ID:198076931 New window

Record is a part of a journal

Title:Procedia computer science
Publisher:Elsevier
ISSN:1877-0509
COBISS.SI-ID:519421465 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:BI-DE/23-24-006
Name:Načrtovanje sodelujočega družbeno-tehničnega sistema hibridnega procesa komisioniranja "človek-robot"

Funder:Federal Ministry of Education and Research
Project number:57655220

Funder:German Academic Exchange Service
Project number:57655220

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:25.02.2025

Secondary language

Language:Slovenian
Keywords:komisioniranje, staranje, avtonomni mobilni roboti, eksperimentalna študija


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