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Flexible Automation and Integrated Manufacturing 1999

ISBN Print: 978-1-56700-133-4

Adaptive Simulation Systems for Reducing Uncertainty of Predictions

Abstract

Simulation is an essential method for scheduling discrete manufacturing processes. Because of disturbances and/or inaccuracy of the simulation model, the difference between the predicted and the real process will increase with time. This paper reports on a simulation system which is able to reduce this difference by synchronization and adaptation of the simulation model while the real process is running. The basic principles of the process accompanying simulation and an experimental system are described.
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