We investigate factors that impact the effectiveness of caching to speed up discrete event simulation. Walsh and Sirer have shown that a variant of function caching (staged simula...
Bayesian methods are now used in a variety of ways in discrete-event simulation. Applications include input modeling, response surface modeling, uncertainty analysis, and experime...
An educational web-based virtual factory and simulator environment is presented in this paper. It has been developed for university students to apply various statistical quality c...
Xuesong Chi, Matthew P. J. Pepper, Trevor A. Spedd...
We consider how simulation metamodels can be used to optimize the performance of a system that depends on a number of factors. We focus on the situation where the number of simula...
We summarize the results of an experimental performance evaluation of using an empirical histogram to approximate the steady-state distribution of the underlying stochastic proces...
Staffing decisions in a consumer credit origination environment have a significant impact on the financial institution's costs as well as customer service levels. Staff resou...
Mortgage-Backed-Securities (MBS), as the largest investment class of fixed income securities, have always been hard to price. Because of the following reasons, normal numerical me...
We describe a different approach to using XML to support the simulation modeling of supply chains. Instead of using XML to specify the simulation constructs, as most previous appr...
Dean C. Chatfield, Terry P. Harrison, Jack C. Hayy...
Monte Carlo techniques have long been used (since Buffon's experiment to approximate the value of by tossing a needle onto striped paper) to analyze phenomena which, due to ...
Samarn Chantaravarapan, Ali K. Gunal, Edward J. Wi...