José Arnaldo Barra Montevechi

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Several process modeling techniques have been used in simulation projects. However, most of these techniques provide little specific support to the programming. The main cause of this is the fact that these techniques were not developed with the same logic used in simulation models. From this issue, this paper presents an industrial application of a new(More)
Optimization via simulation came true; most discrete-event simulation packages have some kind of optimization routines but the optimum search can become very timeconsuming as the factor number increases. This paper objectives show how Factorial Designs help the optimization via simulation to reach the optimum solution by reducing number of factors. A(More)
The objective of this article is to apply the Design of experiments technique along with the Discrete Events Simulation technique in an automotive process. The benefits of the design of experiments in simulation include the possibility to improve the performance in the simulation process, avoiding trial and error to seek solutions. The methodology of the(More)
Discrete event simulation is a tool to support decision-making that has been increasingly used to study complex systems. Several simulation research methods are found in the literature, each one has its own characteristics, to guide analysts during the development of simulation projects. In view of this, the current work identified the main research methods(More)
Conceptual modeling (CM) for simulation has traditionally been described as a highly qualitative process which is difficult to define. Previous articles have investigated the use of Soft Systems Methodology (SSM), a problem structuring method, in healthcare simulation studies in order to define general system understanding, study objectives, and model(More)
There has been an increase in the study of discrete simulation projects; however, literature lacks the topic of effectively managing these projects. Therefore, in this research, some principles from project management were applied in a discrete event simulation project. The action research method was used to implement the study. The ten knowledge areas from(More)