posted on 2017-08-18, 13:41authored byAnna Brolin, Peter Thorvald, Keith Case
This full factorial experimental study aimed to investigate different ways of presenting material and information at the workstation while using mixed assembly mode with product variants. The experimental set up annotated an
assembly line involving 36 subjects (19 women and 17 men) partly assembling a pedal car. The material presentation factor involved the use of a material rack compared to using an unstructured kit as well as a structured kit. The
information presentation factor involved using a text and number instruction compared to a photograph instruction, and situations with and without component variation were considered. Both quantitative and qualitative results were obtained, including time and errors as dependant measures, and workload ratings as well as a questionnaire as support measurements. Among the results it was found that assembly times and workload ratings were lower when using a kit, whereas using a material rack resulted in perceived decreased workflow and increased stress and frustration. Moreover, assembly times and workload
ratings were lower when using photographs, whereas using text and numbers increased mental workload. The results could be useful when planning work places and production systems in order to obtain a better workflow and an increased human performance.
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
Production and Manufacturing Research
Volume
5
Issue
1
Pages
141-163
Citation
BROLIN, A., THORVALD, P. and CASE, K., 2017. Experimental study of cognitive aspects affecting human performance in manual assembly. Production and Manufacturing Research, 5 (1), pp.141–163.
This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/
Acceptance date
2017-08-02
Publication date
2017-09-26
Notes
This is the published version of an article published by Taylor & Francis in Production and Manufacturing Research on 26/09/2017, available online: https://doi.org/10.1080/21693277.2017.1374893.