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In recent years several simulation-based serious games have been developed for mastering new business concepts in operations management. This indicates the high potential of simulation use for pedagogical purposes. Unfortunately, this potential is hardly reflected in simulation methodology. We consider this issue by identifying alternative demands game use of simulation sets for model building and...
This work investigates what makes a robotic assembly process “learnable” for the explicit purpose of improving the performance of that process. It has been observed that even stochastic search methods like Genetic Algorithms (GA) can benefit from advanced models of the assembly task. Models built from the results of random samplings of a parameter space have been used previously to predict the performances...
As time progresses, it is likely that the demand for the ability of robotic assembly solutions to self-tune will steadily grow, and companies will invest more in automation technologies for manufacturing. In this study we present a method that employs computational learning to generate internal models for online optimization acceleration of a genetic algorithms approach of exploring a parameter space...
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