Analysis of the effects of group size and learning on manual assembly performance

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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On the basis of a prior experimental study, this paper performs a further analysis of the effects of group size (one to four workers) and learning (up to four repetitions per group) on manual assembly performance. More specifically, this paper aims to investigate the factors and the extent to which they affect reduced assembly time as a function of repetitions and reduced productivity per worker as a function of increasing group size. The ultimate aim of this study is to increase the understanding of how working in groups of different sizes develops through repetitions when workers are free to organize their work themselves. The results from the video-based analysis show that with a new, relatively complex product, instructions play a crucial role in learning and the losses caused by the inexperience of workers decrease rapidly through repetitions. Unequal temporal workloads between workers in larger groups increase idleness and cause a significant loss of productivity. The findings presented in this paper give insights for industrial managers when assigning workers to products in variable assembly production of highly customized products.
Original languageEnglish
Title of host publication25th International Conference on Production Research Manufacturing Innovation: Cyber Physical Manufacturing, August 9-14, 2019, Chicago, Illinois (USA)
Number of pages10
Publication statusPublished - 2019
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Production Research - Chicago, United States
Duration: 9 Aug 201914 Aug 2019
Conference number: 25

Publication series

NameProcedia Manufacturing
ISSN (Electronic)2351-9789


ConferenceInternational Conference on Production Research
Abbreviated titleICPR
Country/TerritoryUnited States


  • group size
  • learning
  • manual assembly
  • productivity
  • activity analysis


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