CIRP Encyclopedia of Production Engineering

2019 Edition
| Editors: Sami Chatti, Luc Laperrière, Gunther Reinhart, Tullio Tolio

Simulation of Manufacturing Systems

  • Aydin NassehiEmail author
  • Marcello Urgo
Reference work entry
DOI: https://doi.org/10.1007/978-3-662-53120-4_6572

Synonyms

Definition

Simulation is the dynamic observation of an abstract model of a system through time with particular attention to the system’s key attributes. The term is used extensively in manufacturing to refer to different types of such observations ranging from visual simulation of factories or individual machine tools to stochastic simulation of entire supply chains. Today, most simulation activities are carried out by computer software systems. Simulation systems are often categories into discrete-event simulation systems and continuous time simulation systems based on the approach they take with regard to advancing the time of the simulation forward.

Theory and Application

Discrete-Event Simulation

Discrete-event simulation is a type of simulation where the operation of a system is represented as a number of labelled points in time in chronological order. Each of these “points” is defined as an “event” and signifies a change in an aspect of the system’s state....

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References

  1. Banks J, Carson JS, Nelson BL, Nicol DM (2009) Discrete-event system simulation, 5th edn. Prentice Hall, Upper Saddle RiverGoogle Scholar
  2. Law AM (2006) Simulation modeling and analysis, 4th edn. McGraw-Hill, New YorkGoogle Scholar
  3. Law AM, McComas MG (1998) Simulation of manufacturing systems. In: Proceedings of the 30th conference on winter simulation. IEEE Computer Society Press, Atlanta, pp 49–52Google Scholar
  4. Leitão P, Barbosa J, Trentesaux D (2012) Bio-inspired multi-agent systems for reconfigurable manufacturing systems. Eng Appl Artif Intell 25(5):934–944CrossRefGoogle Scholar
  5. Smith JS (2003) Survey on the use of simulation for manufacturing system design and operation. J Manuf Syst 22(2):157–171CrossRefGoogle Scholar
  6. Sokolowski JA, Banks CM (2010) Modeling and simulation fundamentals: theoretical underpinnings and practical domains. Wiley, HobokenzbMATHCrossRefGoogle Scholar

Copyright information

© CIRP 2019

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringUniversity of BristolBristolUK
  2. 2.Dipartimento di Meccanica, Sezione Tecnologie Meccaniche e ProduzionePolitecnico di MilanoMilanItaly

Section editors and affiliations

  • Günther Schuh
    • 1
  1. 1.Forschungsinstitut für Rationalisierung (FIR) e. VRWTH AachenAachenGermany