Prototyping Assistive Systems for Manual Assembly in Real Production Environments: Challenges and Lessons Learned

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

In current production environments, industry 4.0 or smart production plays an essential role. The trend towards more and more individualization and an increasing number of product variants place high demands on people working in manufacturing. Assembly workers must achieve increasingly shorter cycle times and constantly learn how to assemble new products. The support from assistive systems (e.g. digital work instructions, pick-by-light, automatic component recognition for quality control) is necessary in these environments. But many systems and prototypes presented in this field work perfectly in lab environments, however, they may fall short when deployed in a real production environment. We developed a comprehensive and flexible assistance system for manufacturing and identified design and technical challenges, which may only appear when working at the shop floor and. In this paper, we present our experiences and discuss our key challenges and lessons learned.

Original languageEnglish
Title of host publicationProceedings of the 2021 IEEE International Conference on Human-Machine Systems, ICHMS 2021
EditorsAndreas Nurnberger, Giancarlo Fortino, Antonio Guerrieri, David Kaber, David Mendonca, Malte Schilling, Zhiwen Yu
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665401708
DOIs
Publication statusPublished - 8 Sep 2021
Event2021 IEEE International Conference on Human-Machine Systems, ICHMS 2021 - Magdeburg, Germany
Duration: 8 Sep 202110 Sep 2021

Publication series

NameProceedings of the 2021 IEEE International Conference on Human-Machine Systems, ICHMS 2021

Conference

Conference2021 IEEE International Conference on Human-Machine Systems, ICHMS 2021
Country/TerritoryGermany
CityMagdeburg
Period08.09.202110.09.2021

Keywords

  • assistive technology
  • extended reality
  • human factors
  • human in the loop
  • human-computer interaction
  • manufacturing systems

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