Abstract
The present research aims to correlate the performance loss of a worker and fatigue during a day-work journey of a maintenance routine. The learning-forgetting-fatigue-recovery model seeks to answer why a worker cannot carry out such a maintenance routine for three or four hours long with a steady performance. Learning happens if someone performs a task multiple times. However, under fatigue, the worker will make more errors and lead to a longer completion time. On the other hand, forgetting occurs after a break, but due to recovery, s/he will make fewer mistakes, so the completion time tends to decrease. The current study results determine the best work and break configuration to minimize the whole maintenance routine duration based on the learning-forgetting-fatigue-recovery model.
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Vargas, V.d., Kim, J.H. (2021). Learning-Forgetting-Fatigue-Recovery Simulation Model. In: Wright, J.L., Barber, D., Scataglini, S., Rajulu, S.L. (eds) Advances in Simulation and Digital Human Modeling. AHFE 2021. Lecture Notes in Networks and Systems, vol 264. Springer, Cham. https://doi.org/10.1007/978-3-030-79763-8_16
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DOI: https://doi.org/10.1007/978-3-030-79763-8_16
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