Potential Models of Group Learning in Production

Jaakko Peltokorpi*, Mohamad Y. Jaber

*Corresponding author for this work

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

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Working in groups is beneficial for many complex production jobs as groups can have the cognitive and physical capacity that lacks from individuals. The group learning process is complicated when, in addition to individual learning by doing, the number of workers and knowledge transfer have their effects. Production managers need tools for analyzing and predicting group performance and learning over future production periods. Mathematical learning curve models are one of those tools that managers use, with a few are available for groups. This paper reviews potential group learning curve models for production environments. The models are fitted to data from an assembly experiment consisting of different group sizes and repetitions. The results show that more parameters improve the fit. A qualitative evaluation has been performed to answer how well the models reflect group learning and support decision making in production and how their prediction of data could be improved. The results suggest that the S-shaped model performed the best making it a potential one for describing learning in groups in production environments. The paper also suggests future directions along with this line of research.
Original languageEnglish
Title of host publicationSPS2020 - Proceedings of the Swedish Production Symposium
EditorsKristina Safsten, Fredrik Elgh
PublisherIOS Press BV
Number of pages12
ISBN (Electronic)9781614994398
Publication statusPublished - 12 Oct 2020
MoE publication typeA4 Article in a conference publication
EventSwedish Production Symposium - Jönköping, Sweden
Duration: 7 Oct 20208 Oct 2020
Conference number: 9

Publication series

NameAdvances in Transdisciplinary Engineering


ConferenceSwedish Production Symposium
Abbreviated titleSPS
Internet address


  • Group learning
  • learning curve model
  • group size
  • production
  • experimental data

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