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Journals and Conferences
In many simulation studies a large amount of time and money is spent on model development, but little effort is made to analyze the simulation output data in a proper manner. Since most simulation models use random variables as input, the output data are themselves random and care must therefore be taken in drawing conclusions about the system under study.… (More)
In this tutorial we present techniques for building valid and credible simulation models. Ideas to be discussed include the importance of a definitive problem formulation, discussions with subject-matter experts, interacting with the decision-maker on a regular basis, development of a written assumptions document, structured walk-through of the assumptions… (More)
This paper discusses how simulation is used to design and analyze manufacturing or warehousing systems. Topics discussed include: manufacturing issues investigated by simulation, techniques for building valid and credible models, manufacturing simulation software, statistical considerations, and simulation pitfalls. A case study is included.
One of the most important but neglected aspects of a simulation study is the proper design and analysis of simulation experiments. In this tutorial we give a state-of-the-art presentation of what the practitioner really needs to know to be successful. We will discuss how to choose the simulation run length, the warm-up-period duration (if any), and the… (More)
In this tutorial we present an introduction to simulation-based optimization, which is, perhaps, the "hottest" topic in discrete-event simulation today. We give a precise statement of the problem being addressed and also experimental results for two commercial optimization packages applied to a manufacturing example with seven decision variables.
In the last five years there has been a significant increase in the use of simulation for the -design and analysis of communications networks. In this talk we present a state-of-the art review of simulation software for communications, including types of software, desirable features, and available software.
The number of simulation packages available for performing manufacturing analyses has grown tremendously during the past five years, making it increasingly more difficult for an analyst to choose simulation software for a particular application. In this paper, we present a set of features which should be considered when evaluating simulation software, and… (More)
In this tutorial we give a definitive and comprehensive sevenstep approach for conducting a successful simulation study. Topics to be discussed include problem formulation, collection and analysis of data, developing a valid and credible model, modeling sources of system randomness, design and analysis of simulation experiments, and project management.