WSC

Over the past several years, engineers at Intel Corporation have used modeling and simulation techniques to solve various high volume manufacturing problems. Our current goal is to use a persistent model over the entire life cycle of a factory to ...

This paper offers an introductory overview of discrete simulation, with emphasis on the simulation modeling process rather than on any specific simulation package. Examples are used to demonstrate the application of the methodology at each step of the ...

This paper provides simulation practitioners and interested simulation consumers with a grounding in how discrete-event simulation software works. Topics include discrete-event systems and modeling; entities, resources and operations; simulation runs; ...

This tutorial describes software for conducting computer simulation other software that supports simulation.

General guidelines for selecting probabilistic input models as part of a discrete-event simulation study are presented. Two short examples illustrating input modeling decisions are also presented, as opposed to a complete treatment of the subject.

This paper describes, in general terms, methods to help design the runs for simulation models and in terpreting their output. Statistical methods are described for several different purposes, and related problems like comparison, variance reduction, ...

This paper discusses verification and validation of simulation models. The different approaches to deciding model validity am presented; how model verification and validation relate to the model development process are discussed; various validation ...

An object-oriented simulation (OOS) consisting of a set of object classes written in C++ can be used to create simulation models and packages. The simulations built with these tools possess the benefits of an object-oriented design, including the use of ...

This paper discusses how simulation is used to design and analyze communications networks. Topics discussed include: network issues addressed by simulation, simulation software for network modeling, techniques for building valid and credible models, and ...

The purpose of this article is to discuss some of the more challenging issues associated with conducting simulation in healthcare., The current healthcare environment is ripe for the use of simulation. The pressure to control costs is higher than ever, ...

This tutorial introduces manufacturing applications of simulation through four illustrative example applications. These examples illustrate the additional understanding of system behavior gained by the use of simulation models. Individuals using ...

This introductory tutorial provides an overview of business process simulation and how it works. Descriptions of modeling elements and model performance measures are presented. Classification of business processes is followed by unique modeling, ...

Virtual Reality is a leading edge technology which has only very recently become available on platforms and at prices accessible to the majority of simulation engineers. The media representation of Virtual Reality has been focused on the entertainment ...

This presentation is for those who want to be a simulation consultant, whether in an independent consulting company or within a consulting group in a larger company. Both practical project management and good technical fundamentals are critical for ...

In this paper, we identify and discuss the features we believe are key to the successful use of simulation as a manufacturing support tool. The discussion begins with three sample projects drawn from the authors' industrial and consulting experiences. ...

As an advanced tutorial, we discuss batching methods for determining point-estimator precision for steady-state simulation experiments. We emphasize batching methods in which each batch provides a point estimator analogous to that of the experiment, but ...

This tutorial describes considerations in writing parallelized discrete-event simulations. We identify key principles behind various synchronization methods tailored to simulate complex systems.

The design of efficient parallel discrete-event simulation (PDES) models often appears to be a mysterious art practiced primarily by academic researchers who have been rigorously ordained in this task. This tutorial attempts to unravel some of the ...

The design of efficient parallel discrete-event simulation (PDES) models often appears to be a mysterious art practiced primarily by academic researchers who have been rigorously ordained in this task. This tutorial attempts to unravel some of the ...

Event Graphs are a way of graphically representing discrete-event simulation models. Also known as "Simulation Graphs," they have a minimalist design, with a single type of node and two types of edges with up to three options. Despite this simplicity, ...

"Artificial Life," despite its biological analogy and the hyperbole that its name implies, is really a collection of methods for building discrete event simulations with evolving multiple agents. It consists mainly of representing parts of systems or ...

This paper first discusses an object-oriented, control architecture and then applies the architecture to produce a real-time software emulator for the Rapid Acquisition of Manufactured Parts (RAMP) flexible manufacturing system (FMS). In specifying the ...

In the mid 1980's the U.S. Department of Defense, Defense Advanced Research Projects Agency (DARPA) launched the SIMNET project, which gave birth to a technology era and networking protocol presently known as Distributed Interactive Simulation (DIS). ...

This paper reviews issues concerning the design of adaptive protocols for parallel discrete event simulation (PDES). The need for adaptive protocols are motivated in the background of the synchronization problem that has driven much of the research in ...

This paper presents a simulation control system developed by the Texas A&M Computer Aided Manufacturing Laboratory (TAMCAM). This control system is a research tool that TAMCAM uses to explore the advantages and disadvantages of on-line simulation for ...

Bootstrap methods are a natural adjunct of computer simulation experiments; both use resampling techniques to construct the statistical distributions of quantities of interest. In this paper we consider how bootstrap methods can be used in selecting ...

We develop an efficient numerical method for fitting ARTA processes for use as simulation input. ARTA processes are stationary time series with arbitrary marginal distributions and autocorrelations specified through finite lag p. We discuss the software ...

This paper reviews and evaluates strategies for implementing the batch means method for estimating the mean of a stationary simulation output process.

This paper presents a new approach to estimating and constructing confidence intervals for the steady state mean of a stochastic process from short simulations which may exhibit significant transient response. Specifically, we examine the conditional ...