Resumo:
In discrete event simulation (DES) projects, generally, some computational validation criteria
are not defined assertively and human factors are not integrated and considered in the input data
modeling phase. An erroneous assumption made during the input data modeling step is that
workers operate at an unchanging rate. This ends up being a problem for the modeling of
production systems, especially if the process to be modeled involves a large amount of manual
work. In this context, the objective of this thesis is to propose a mathematical equation to
integrate three human factors in an DES project. And the innovation of this research is based
on the proposed mathematical equation, which intends to model and integrate human factors,
circadian rhythm, performance and learning and apply them through the equation in three
different DES projects. The adherence of the proposed equation was verified with the help of
validation tests, used in order to validate the developed computational model. Therefore, the
aforementioned equation was conceived in this research to represent the human factor from the
processing times of each activity considered in each object of study. In the methodological
stage, the system conceived in this thesis was presented, and six scenarios were planned, CIA,
CIB and CIC that do not consider human factors, circadian rhythm, performance and learning.
And the CIIA, CIIB and CIIC scenarios that consider, through the proposed equation, these
three human factors. Finally, a quantitative validation was performed using the two-sample t test and a qualitative validation using the Turing Test on the results from the computational
model. As a conclusion, it was found that the validation of the computational model conducted
through the two techniques mentioned above did not occur for the CIA, CIB and CIC scenarios
and, therefore, only occurred partially or in full, for the CIIA, CIIB and CIIC. Therefore, it was
found that the computational validation in an DES project is influenced when these three human
factors are considered and the proposed mathematical equation is a novelty for researchers in
the field of discrete-event simulation.
