The overwhelming majority of research into the design and analysis of simulation assumes that only a single response variable is of interest to the researcher. This is an impractical assumption. In these introductory remarks, the problem of multiple response in simulation analysis is addressed and some solutions are discussed.
The general linear metamodel has been found to be an effective tool in post-simulation analysis. This paper addresses the multiple response problem in simulation and proposes a multivariate general linear metamodel as an aid in understanding and interpreting simulation results. Such a metamodel was developed using multiple response data generated from an… (More)
Young people today want to work at a meaningful job and make a difference in the world. Information technology (IT) is an effective enabler for all sorts of business strategies, so it comes as no surprise that IT is useful for implementing a firm's corporate social responsibility (CSR) initiative as well. The computer professional of the twenty-first… (More)
The purpose of this paper is to demonstrate the applicability of multivariate analysis of variance (MANOVA) to simulation analysis. The paper discusses an illustrative simulation experiment of an M/M/s queueing system, in which three system configurations are crossed with two queue disciplines to produce a 3 x 2 factorial design. Since there are several… (More)
The quality and credibility of simulation models are increasing in importance, along with a continual increase in the use of these models themselves. In the final analysis, we all depend on quality having been built into the simulation models designed by many people in diverse disciplines. As educators we must instill professional pride, habitual validation… (More)