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)
Keywords: Goal programming Multi-choice aspiration levels Aggregate production planning Multi-Choice mixed integer goal programming Sugar and ethanol mills a b s t r a c t Goal Programming (GP) is an important analytical approach devised to solve many real-world problems. The first GP model is known as Weighted Goal Programming (WGP). However , Multi-Choice(More)
The objective of this paper is to utilize the SIPOC, flowchart and IDEF0 modeling techniques combined to elaborate the conceptual model of a simulation project. It is intended to identify the contribution of these techniques in the elaboration of the computational model. To illustrate such application, a practical case of a high-end technology enterprise is(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)
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)
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)
The IDEF-SIM technique was developed in order to facilitate the translation of conceptual models to computational models. Papers using this technique can be found in the existing literature, however, none present an analysis of how the technique behaves throughout all of the stages of a discrete event simulation project. Therefore, a research-action was(More)