Supply chain management involves understanding complex interactions between many factors and using the understanding to achieve balance between conflicting objectives. Simulation ...
In order to support the conceptualization and specification of simulation models of complex systems, several formalisms or world views exist. Petri nets, differential equations, d...
This paper presents our work on the integrated use of simulation tools in real time for participatory occupational ergonomic studies. The focus of this paper is a synergistic syst...
Shaikh Imtiyaz, Uma Jayaram, Sankar Jayaram, Craig...
The human behavior modeling community has traditionally been divided into those addressing individual behavior models, and those addressing organizational and team models. And yet...
We consider the problem of estimating the small probability that a function of a finite number of random variables exceeds a large threshold. Each input random variable may be lig...
Simulation can be an effective way to evaluate alternative decisions in Sense-and-Respond systems prior to taking actions to resolve existing or anticipated business situations. I...
Paul Huang, Young M. Lee, Lianjun An, Markus Ettl,...
In this paper, we consider the fast simulation of traffic groomed optical networks, in which multiple sub-rate traffic streams may be carried on the same wavelength. For real-size...
In this paper we present an architecture for internet-mediated simulation games. The challenge was to use today's state of the art technologies to provide a simulated environ...
Data Farming is a methodology and capability that makes use of high performance computing to run models many times. This capability gives modelers and their clients the enhanced a...
Farm is a distributed simulation environment for modeling the performance of large-scale multi-agent systems. It uses a component-based architecture to distribute the computationa...