This paper describes a simulation system that monitors operations on a production floor, periodically creating a model of those operations, and running a simulation that predicts ...
In this paper we present seven short lessons used for introducing management science students to discrete event simulation. It has been used both as the only element of such simul...
Monte Carlo simulation techniques that use function approximations have been successfully applied to approximately price multi-dimensional American options. However, for many pric...
In 2001, Detroit Metropolitan Wayne County Airport (DTW) opened a new runway parallel to three existing runways. While this increases DTW's runway capacity, the airport is se...
The discrete event simulator OMNeT++, that is programmed in C++, shows a steady growing popularity. Due to its wellstructured nature, it is easy to understand and easy to use. A s...
Recently, simulation-based methods have been successfully used for solving challenging stochastic optimization problems and equilibrium models. Here we report some of the recent p...
An important step in designing stochastic simulation is modeling the uncertainty in the input environment of the system being studied. Obtaining a reasonable representation of thi...
While the literature contains several adaptive sampling techniques for statistical comparison of competing simulated system configurations and for embedded statistical computation...
Simulation and Emulation techniques are fundamental to aid the process of large-scale protocol design and network operations. However, the results from these techniques are often ...
David W. Bauer, Garrett R. Yaun, Christopher D. Ca...