Engenharia Didática aplicada no ensino de modelagem e simulação de processos

Abstract

Data modeling and simulation may contribute to process improvement avoiding unnecessary expenses. Once they allow us to evaluate hypothesis without modify the local structure and relocate human resources. Usually, researches who uses these tool direct their efforts on experimentations and on the results obtained, giving much less attention on the planning phase of the event on research. The planning phase of the event is crucial and once it is skipped the consequences may result on time consuming and lose effectiveness. This work address this gap on data modeling and simulation looking for learning resources focus on minimize this problem with the following questions? How could the professors provide help to students of engineering to build conceptual models using IDEF-SIM (Integration Definition for Function Modeling-Simulation)? We used as methodology the Didactic Engineering. We planned and performed a training course with a group of students of Production and Software Engineering. During the course, we developed six activities. These activities were differentiated according to how the problem was exposed and data disposition as well. Both based on theoretical model of Statistics Investigation called PPDAC (Problem, Plan, Data, Analysis, Conclusions) and the modeling software ProModel®. The information obtained at the analysis phase performed a posteriori and internal validation suggested that the learning structural developed apparently propitiate to the group of the students which attended to the training course a deep understanding regarding to how a system work and how it bring benefits to the development of the conceptual model.