The modeling of systems mixing discrete and continuous behavior is a challenge for model builders. Sometimes, the continuous part is important, but small near the complex decision...
Marcelo Moretti Fioroni, Luiz Augusto Gago Franzes...
This paper presents a new job release methodology, WIPLOAD Control, especially in semiconductor wafer fabrication environment. The performance of the proposed methodology is evalu...
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...
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...
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...
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 ...
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...
We present a single-stage multiple-comparison procedure for comparing parameters of independent systems, where the parameters are not necessarily means or steady-state means. We a...
We develop new confidence-interval estimators for the mean and variance parameter of a steady-state simulation output process. These confidence intervals are based on optimal li...