CHI Systems, under contract to the U. S. Army Research Institute, is developing an immersive training system, called Virtual Environment Cultural Training for Operational Readines...
Chris McCollum, Charles Barba, Thomas Santarelli, ...
We present a new method of selecting the best of several competing system designs on the basis of expected steadystate performance. The method uses a new form of timeseries bootst...
We shall examine the principles behind contemporary approaches to insurance risk management. Furthermore, we shall consider various methodologies, some successful, that have been ...
Existing research has defined a new type of simulation time called Approximate Time, where the simulation's knowledge about the values that represent time is uncertain. The a...
To assist the decision makers, we develop a new supply chain simulation software: Easy-SC, a Java-based tool that simplifies the supply chain simulation. In its current state of d...
We present a conceptual framework for validating reusable behavioral models. The setting for this work is a modern product development environment in which design is performed by ...
This paper reviews the performance of various methods used to detect the warm up length in steady state discrete event simulation. An evaluation procedure is used to compare the m...
This paper introduces the Stochastic Project Scheduling Simulation (SPSS) system and two additional useful statistical analysis tools. SPSS integrates CPM, PERT, and Discrete Even...
Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the...
Simulation plays a vital role in identifying the best system design from among a set of competing designs. To improve simulation efficiency, ranking and selection techniques are o...
Loo Hay Lee, Ek Peng Chew, Suyan Teng, David Golds...