WSC

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

This tutorial describes computer languages and other software packages that support discrete-event simulation.

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

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 ...

This tutorial describes the benefits of using simulation to evaluate the performance of transportation facilities and systems. The authors present specific examples in which simulation analysis has been applied to the transportation industry.

This introductory tutorial provides an overview of business process simulation, describes the modeling and analysis considerations, and lists typical model input, simulation and output requirements. A classification of simulation software products is ...

Describes how a simulation project should be performed in order to ensure a successful outcome. This involves skills in both simulation and project management. The paper concentrates on the process of performing a simulation project rather than specific ...

Summarizes the steps and procedures of performing a simulation study. Simulation studies are complicated by nature and without any formal procedure can present a large challenge for engineers. This paper develops a step-by-step approach to aid in the ...

This tutorial is an introduction to simulation graphs for simulation modeling. The simulation graph methodology is a paradigm that directly models the future event list underlying the discrete event approach to simulation modeling. Simulation graphs ...

A set of object classes have been written in C++ which can be used to create simulation models and simulation packages. The simulations built with these classes possess the benefits of an object-oriented design, including the use of inheritance, ...

A simulation model is composed of inputs and logic; the inputs represent the uncertainty or randomness in the system, while the logic determines how the system reacts to the uncertain elements. Simple input models, consisting of independent and ...

This paper reviews statistical methods for analyzing output data from computer simulations of single systems. In particular, it focuses on the problems of choosing initial conditions and estimating steady-state system parameters. The estimation ...

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

Research and development efforts in the parallel and distributed simulation field over the last 15 years has progressed, largely independently, in two separate camps: the largely academic high performance parallel and distributed (discrete event) ...

The word "derivative" has led a ubiquitous existence in the news in recent years. This paper gives a tutorial on financial derivatives and the use of Monte Carlo simulation techniques for their pricing. We provide the basic financial terminology and key ...

This paper is an advanced tutorial on the use of statistical techniques in sensitivity analysis, including the application of these techniques to optimization and validation of simulation models. Sensitivity analysis is divided into two phases. The ...

Techniques that make the minimum of assumptions about the underlying characteristics of the simulation output series are particularly useful for simulation analysis. This tutorial discusses robust non-parametric techniques with immediate applicability ...

Sufficient experience has been gained over the last decade in simulation validation, verification, and testing (VV&T) to establish basic principles about its characteristics. This paper presents 15 principles of simulation VV&T. These principles help ...

This paper provides an overview of the simulated annealing algorithm and describes its historical foundation in thermodynamics as well as the genesis and evolution for solving difficult optimization problems. An example illustrating its application to ...

This paper contains two new results pertaining to the initial transient problem for steady-state simulations. Our first result rigorously establishes the asymptotic superiority of a few long replications relative to a large number of shorter ...

We critically review the work that has been done in applying basic, smoothed and parametric bootstrap methods to simulation experiments. We develop a framework to classify bootstrap methods in this context and use it to compare various bootstrap ...

We review fast simulation techniques used for estimating probabilities of rare events and related quantities in different types of stochastic models.

A new object-oriented framework, termed "hyper-linked manufacturing", is introduced for computer-integrated manufacturing. This framework permits complex organizational structures among intelligent agents to address the distributed coordination of the ...

Variance reduction techniques can be useful strategies for improving the estimates of simulation metamodel coefficients. Depending upon the goals of the experimenter, the type of metamodel being estimated, and the characteristics of the system being ...

This paper gives an overview of multivariate statistical techniques that can be useful for analyzing discrete-event simulation output, and describes some of the latest directions in research on multivariate output analysis. A general discussion is given ...

Presents a structure for defining and categorizing simulation model designs. In the past, simulation researchers have created categories for discrete event simulation: event, process and activity; however, there are problems with this breakdown. First, ...

Computational methods play an important role in modern finance. Through the theory of arbitrage-free pricing, the price of a derivative security can be expressed as the expected value of its payouts under a particular probability measure. The resulting ...