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This paper investigates the possibility of automatically generating simulation models based on plant engineering data, usable for virtual commissioning.
In addition to being a tedious procedure, the complexity of structural construction makes the task of manually generating simulation models quite complicated.
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Xtend is the transformation language, MS4ME16 is the simulation platform, and DEVS (in particular, a DEVS dialect called DEVS) is the formalism for running the generated simulation models.
Within this paper, the authors describe an approach to automatically generate simulation models for control code tests based on given computer aided engineering (CAE) planning documents.
Based on the proposed concept, the reuse of engineering data to generate simulation models, and thus the broader use of simulation throughout the lifecycle, becomes easier and therefore more feasible.
A trace obtained from the execution of the automatically generated simulation model was also studied.
Finally, factory level planning and scheduling activities using the generated simulation model are described.
The simulation results obtained were compared with those obtained through the execution of a manually generated simulation model.
Unfortunately, it is difficult to directly use such information when generating simulation-based models.
This article reports the quest to apply the E-E learning model to higher education institutions in Europe, and to use the model to generate simulations of prototypical institutions within the European higher education area (EHEA) in the period 2010 to 2030.
Once a predictive model is generated, simulations can be used to make predictions about the adaptive function of these rules.
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