| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font
First page > Show document

Show document Help

Title:Personalizing human–robot workplace parameters in human-centered manufacturing
Authors:ID Ojsteršek, Robert (Author)
ID Buchmeister, Borut (Author)
ID Javernik, Aljaž (Author)
Files:.pdf machines-12-00546-v2.pdf (5,12 MB)
MD5: 05CEEA53031A74050FC78B5A7FD65AFC
 
URL https://www.mdpi.com/2075-1702/12/8/546
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:This study investigates the relationship between collaborative robot (CR) parameters and worker utilization and system performance in human–robot collaboration (HRC) environments. We investigated whether optimized parameters increase workplace efficiency and whether adapting these parameters to the individual worker improves workplace outcomes. Three experimental scenarios with different CR parameters were analyzed in terms of the setup time, assembly time, finished products, work in process, and worker utilization. The main results show that personalized CR parameters significantly improve efficiency and productivity. The scenario in which CR parameters were tailored to individual workers, balanced the workload, and minimized worker stress, resulting in higher productivity compared to non-people-centric settings. The study shows that personalization reduces cognitive and physical stress, promotes worker well-being, and is consistent with the principles of human-centered manufacturing. Overall, our research supports the adoption of personalized, collaborative workplace parameters, supported by the mathematical model, to optimize employee efficiency and health, contributing to human-centered and efficient HRC environments.
Keywords:human–robot workplace, collaborative workplace, human-centered manufacturing, stress index, modelling, efficiencxy
Publication status:Published
Publication version:Version of Record
Submitted for review:08.08.2024
Article acceptance date:09.08.2024
Publication date:11.08.2024
Publisher:MDPI
Year of publishing:2024
Number of pages:16 str.
Numbering:Vol. 12, iss. 8, [article no.] 546
PID:20.500.12556/DKUM-90423 New window
UDC:658.5
ISSN on article:2075-1702
COBISS.SI-ID:204299779 New window
DOI:10.3390/machines12080546 New window
Publication date in DKUM:03.09.2024
Views:38
Downloads:15
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
OJSTERŠEK, Robert, BUCHMEISTER, Borut and JAVERNIK, Aljaž, 2024, Personalizing human–robot workplace parameters in human-centered manufacturing. Machines [online]. 2024. Vol. 12, no. 8,  546. [Accessed 12 April 2025]. DOI 10.3390/machines12080546. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=90423
Copy citation
  
Average score:
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share


Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Record is a part of a journal

Title:Machines
Shortened title:Machines
Publisher:MDPI
ISSN:2075-1702
COBISS.SI-ID:17129750 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0190-2018
Name:Napredni koncepti menedžmenta proizvodnje in dimenzionalnega meroslovja

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:delovna mesta, interakcija človek-robot, organizacija poslovanja, timsko delo, proizvodnja osredotočena na človeka, indeks stresa, modeliranje, učinkovitost


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica