Proposta de uma equação matemática para a integração quantitativa do fator humano em projetos de simulação a eventos discretos

Abstract

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.