Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Model-based Plug & Produce in Assembly Automation
University West, Department of Engineering Science, Division of Production Systems. (KAMPT)
University West, Department of Engineering Science, Division of Production Systems. (KAMPT)ORCID iD: 0000-0002-6604-6904
University West, Department of Engineering Science, Division of Production Systems. (KAMPT)ORCID iD: 0000-0002-7683-7662
University West, Department of Engineering Science, Division of Production Systems. (KAMPT)ORCID iD: 0000-0002-4091-7732
Show others and affiliations
2023 (English)In: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA): 12-15 September 2023, IEEE, 2023, Vol. 2023-SeptemberConference paper, Published paper (Refereed)
Abstract [en]

Manual assembly systems are featured with high flexibility but with the risk of lower quality, higher cycle time, inefficient resource employment, and affecting sustainability goals in comparison to fully automated ones. Conventional automated assembly is challenged by the desired level of flexibility when compared to what automation through Plug & Produce system represents. Plug and Produce, during the last few decades aimed at addressing highly flexible automation systems handling rapid changes and adaptations as one dominant solution. Multi-agent System (MAS) as a tool to handle different areas of manufacturing control systems can be used in Plug & Produce representing every physical control entity (e.g., parts, resources) as agents. This article aims to describe a model-based configurable multi-agent design in Plug and Produce system together with a prototype implementation of the actual automated assembly use case of a kitting operation highlighting flexibility and reconfigurability and the model functionality. A model-based approach with a few models using UML standards describes the structure and behavior of the system. Model instantiation is introduced and followed by real prototype use case implementation. The use case study of advanced automated kitting operation in the assembly automation domain has been selected. Agent-based operation control systems have been applied during the assembly process. The evaluation was accomplished by testing several scenarios on Plug & Produce for kitting operation. To conclude, several desirable functionality features of the framework during the demonstration such as rapid instantiation and adaptation, and in particular, the flexibility features have been examined and evaluated with several failure-handling testing scenarios. © 2023 IEEE.

Place, publisher, year, edition, pages
IEEE, 2023. Vol. 2023-September
Keywords [en]
Assembly; Automation; Control systems; Assembly automation; Assembly systems; Automated assembly; High flexibility; Kitting; Kitting operation; Manual assembly; Model-based design; Model-based OPC; Plug & produce; Multi agent systems
National Category
Robotics
Research subject
Production Technology
Identifiers
URN: urn:nbn:se:hv:diva-21197DOI: 10.1109/ETFA54631.2023.10275691Scopus ID: 2-s2.0-85175465641ISBN: 979-8-3503-3991-8 (electronic)ISBN: 979-8-3503-3990-1 (electronic)ISBN: 979-8-3503-3992-5 (print)OAI: oai:DiVA.org:hv-21197DiVA, id: diva2:1829677
Conference
2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)
Available from: 2024-01-19 Created: 2024-01-19 Last updated: 2024-01-19Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Khabbazi, Mahmood RezaDanielsson, FredrikBennulf, MattiasRamasamy, SudhaNilsson, Anders

Search in DiVA

By author/editor
Khabbazi, Mahmood RezaDanielsson, FredrikBennulf, MattiasRamasamy, SudhaNilsson, Anders
By organisation
Division of Production Systems
Robotics

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 21 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf