Abstract

Economic aspects applied to automated manufacturing systems behavior are crucial and may be considered since the design of those systems. Modeling languages, software tools and analysis techniques are, thus, key issues for achieving the proposed goals for obtaining optimized systems, in order to reducing production time consuming and, consequently, reducing production cost by reducing effective production time cycle during normal (and possible failure) behavior of those systems. In this paper it is presented an approach that intends to reduce the time cycle consuming of automated manufacturing systems - since the specification and design steps - by using, together, the Simulation analysis technique, the modeling language Modelica and the Simulation environment software DYMOLA. Using a case study, there are presented models for the controller behavior, for the plant behavior and also for the closed loop controller-plant behavior. The impact of Simulation tasks in obtaining an optimized behavior is discussed and all the considered aspects are extrapolated for automated manufacturing systems of the same kind.

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