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Discrete Event Simulation Concepts

  • Janya ChanchaichujitEmail author
  • José F. Saavedra-Rosas
Chapter
  • 431 Downloads

Abstract

This chapter is concerned with the discrete event simulation (DES) paradigm. The main objective of this chapter is to provide the reader some basic philosophical foundations of the technique and it also serves as a brief introduction to Ptolemy II as it illustrates some of the concepts presented by using the software in the context of a simple example.

Keywords

Discrete Event simulation (DES) Stochastic modelling Ptolemy II 

References

  1. Heidergott, B., Vázquez-Abad, F. J., Pflug, G., & Farenhorst-Yuan, T. (2010). Gradient estimation for discrete-event systems by measure-valued differentiation. ACM Transactions on Modeling and Computer Simulation, 20(1), 5:1–5:28.Google Scholar
  2. Jerry, B., Carson, J. S., Nelson, B. L., & Nicol, D. M. (2010). Discrete-event system simulation (5th ed.). Pearson.Google Scholar
  3. Law, A. (2015). Simulation modeling and analysis (5th ed.). McGraw Hill.Google Scholar
  4. Lawrence, M. L., & Stephen, K. P. (2006). Discrete-event simulation: A first course. Pearson Prentice Hall.Google Scholar
  5. Merriam-Webster. (2016). Merriam-webster’s learner’s dictionary. Retrieved October 31, 2016 from, http://www.merriam-webster.com/dictionary/.
  6. Ptolemaeus, C. (2014). System design, modeling, and simulation using ptolemy II. Ptolemy.org.Google Scholar

Copyright information

© The Author(s) 2018

Authors and Affiliations

  • Janya Chanchaichujit
    • 1
    Email author
  • José F. Saavedra-Rosas
    • 2
  1. 1.School of ManagementWalailak UniversityNakhon Si ThammaratThailand
  2. 2.University of ChileSantiagoChile

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