Effects of Skill Differences of Adjacent Assemblers on Job Performance Based on Fnirs

DOI

10.2991/assehr.k.220704.060How to use a DOI?

Keywords

fNIRS; personnel mix; prefrontal lobe; repetitive tasks; skill differences

Abstract

The LEGO model was used to simulate the actual assembly line assembly operation, and a repetitive assembly task experiment was designed, taking into account the differences in the skills of adjacent assembly personnel, and the behavior performance data of the personnel combination during the task was recorded. Simultaneously, the fNIRS near-infrared device was utilized to track changes in HBO2 concentration in the prefrontal lobe of the assembled brain, in order to investigate the impact of differences in adjacent assembly personnel’s combined skills on job performance. The results of the experimental analysis show that the assembly error rate and task completion time do not show a relationship of first increasing and then decreasing with the difference in the skills of the personnel combination; however, within a certain range, the brain load of the personnel combination will increase as the skill difference increases. When the skill gap is too wide, it will play a part in reducing mental stress. As a result, when designing personnel arrangements to reduce worker load and improve production efficiency, manufacturing businesses should take into account the differences in skills between neighboring operators.

Copyright

© 2022 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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TY  - CONF
AU  - Shuo Tong
AU  - Xiangyi Lv
AU  - Jingjing Wang
PY  - 2022
DA  - 2022/07/11
TI  - Effects of Skill Differences of Adjacent Assemblers on Job Performance Based on Fnirs
BT  - Proceedings of the 2022 3rd International Conference on Mental Health, Education and Human Development (MHEHD 2022)
PB  - Atlantis Press
SP  - 328
EP  - 331
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220704.060
DO  - 10.2991/assehr.k.220704.060
ID  - Tong2022
ER  -