Effect of Industry 4.0 technologies adoption on the learning process of workers in a quality inspection operation

Guilherme Luz Tortorella, Michel J. Anzanello, Flavio S. Fogliatto, Jiju Antony and Daniel Nascimento

International Journal of Production Research, 2023, vol. 61, issue 22, 7592-7607

Abstract: This study examines the effect of Industry 4.0 (I4.0) technologies on the learning process of operators. We collected data from the training of new operators in a quality inspection workstation. Two distinct scenarios were considered: before and after the adoption of I4.0 technologies. Data from 10 operators were collected in each scenario; the quality inspection cycle was repeated by each operator 30 consecutive times. A 2-parameter hyperbolic learning curve model was used to assess the learning process in the two groups. Results indicated that operators supported by I4.0 technologies had a significantly higher learning rate than those performing the same tasks without I4.0 support. No significant difference was found in the final performance level between groups. Our study bridges a theoretical gap in the relationship between I4.0 and learning by directly comparing the effect of digital support on the training of new employees in a manufacturing environment. We also offer arguments to support managerial decisions with regards to I4.0 adopti-on at an operational level. That allows organisations to prioritise their digitalisation efforts so that the training of operators in workstations can be expedited.

Date: 2023
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DOI: 10.1080/00207543.2022.2153943

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