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Appropriate instructions for manual assembly workers in industrial manufacturing settings: factors to consider
Halmstad University, School of Business, Engineering and Science.
2020 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Manual assembly workers have nowadays a much higher workload than before. Not only do they have to deal with many more product variants, but as aconsequence they also receive many more information signals that they have to act upon. This study focuses on the information assembly workers receive through visual instructions. By conducting a literature review in the domains of product development with focus on design for assembly, cognition related to informationin instructions and different instruction formats like paper, tablet, and augmented reality (AR), commonalities and differences could be identified. Assembly operations are generally divided in handling a part and joining a part, and instructions should inform the assembly worker about when what should be assembled where and how. Each of these aspects has an impact on the overall complexity of the assembly process. To realise which of these aspects is most critical for an assembly worker can be of help in creating and delivering effective, tailor made instructions. The main finding is that there is not a one size fits all solution when it comes to the effectiveness of instructions, but that the type of instructions and the way they are delivered should in the first place be adjusted to the complexity of the assembly operations and secondly - if possible - also adjusted to the experience of the worker. The outcomes mentioned in this document should help laying the foundation for rules and guidelines when it comes to manual assembly instructions and its factors to consider.

Place, publisher, year, edition, pages
2020. , p. 33
Keywords [en]
instructions, manual assembly, visual aid, cognition, augmented reality (AR), design for manufacturing and assembly (DFMA)
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hh:diva-42186OAI: oai:DiVA.org:hh-42186DiVA, id: diva2:1435661
External cooperation
University of Skövde
Educational program
Master's Programme in Mechanical Engineering, 60 credits
Supervisors
Examiners
Available from: 2020-06-05 Created: 2020-06-05 Last updated: 2025-10-01Bibliographically approved

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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