We consider the problem of selecting the best system using simulation-based ordinal optimization. This problem has been studied mostly in the context of light-tailed distributions...
The Logistics Composite Model (LCOM) is a stochastic, discrete-event simulation that relies on probabilities and random number generators to model scenarios in a maintenance unit ...
Computed Tomography (CT) is one of the fastest growing diagnostic imaging procedures. Rapid advances in imaging technologies in conjunction with their widening adoption are some o...
In this contribution we analyze communication requirements of multi-agent simulation systems using ITSimBw – developed at Fraunhofer IAIS – as an example. A focus is put on is...
Planning and steering numerical experiments that involve many simulations are difficult tasks to automate. We describe how a simulation scheduling tool can help experimenters sub...