<b>Human factors in an automotive discrete event simulation model

Autores

  • Rafael de Carvalho Miranda Universidade Federal de Itajubá
  • Cibele Nogueira Paiva Universidade Federal de Itajubá
  • José Arnaldo Barra Montevechi Universidade Federal de Itajubá
  • Tábata Fernades Pereira Universidade Federal de Itajubá

DOI:

https://doi.org/10.4025/actascitechnol.v39i5.30446

Palavras-chave:

simulation, human factor, circadian rhythm, shift work.

Resumo

Human beings have naturally different variations in performance which may lead towards significant differences between the results forecasted by simulation models and those actually obtained. Current research studies the effects of human factors such as circadian rhythms and variations in workday shifts on operators´ performance. It also proposes a method for collecting time data in assembly lines, which takes into consideration different time periods for each work shift to apprehend the variability of human performance at different points throughout the day. The new method was applied in an industrial process with a high rate of manual labor and its production results on the shifts were compared. Results reveal that human factors have a significant impact on the simulation model, providing results closer to reality, which, in turn, lead to more accurate production forecasts.

 

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Publicado

2017-12-15

Como Citar

Miranda, R. de C., Paiva, C. N., Montevechi, J. A. B., & Pereira, T. F. (2017). <b>Human factors in an automotive discrete event simulation model. Acta Scientiarum. Technology, 39(5), 615–622. https://doi.org/10.4025/actascitechnol.v39i5.30446

Edição

Seção

Engenharia Mecânica

 

0.8
2019CiteScore
 
 
36th percentile
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0.8
2019CiteScore
 
 
36th percentile
Powered by  Scopus

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