Organising insights into simulation practice

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Organising insights into simulation practice

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Winter Simulation Conference archive
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come table of contents

Washington D.C.

SESSION: Modeling methodology A: insights and design strategies in conceptual modeling table of contents

Pages 771-775

Year of Publication: 2007

ISBN:1-4244-1306-0

Authors

Michael Pidd	University of Lancaster, Lancaster, U.K.
Stewart Robinson	University of Warwick, Coventry, U.K.

Sponsors

INFORMS-SIM : Institute for Operations Research and the Management Sciences: Simulation Society
NIST : National Institute of Standards and Technology
(SCS) : The Society for Modeling and Simulation International
ACM/SIGSIM : Association for Computing Machinery: Special Interest Group on Simulation
IIE : Institute of Industrial Engineers
ASA : American Statistical Association
IEEE/SMC : Institute of Electrical and Electronics Engineers: Systems, Man, and Cybernetics Society

Publisher

IEEE Press Piscataway, NJ, USA

Bibliometrics

Downloads (6 Weeks): 3, Downloads (12 Months): 30, Citation Count: 0

Additional Information:

abstract references collaborative colleagues

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ABSTRACT

Developments in simulation methodology have been so successful that simulation methods are used in many different domains, and many of these applications are based on discrete event simulation. Though many regard simulation modelling as an art, it ought to be possible to provide guidelines for the development of successful simulation applications. It is clear, though, that such guidelines must reflect the diversity of applications. We explore that diversity and comment on its effects.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Banks, J., J. S. Carson, B. L. Nelson, and D. M. Nicol. 2005. Discrete-Event System Simulation, 4^th ed. Upper Saddle River, New Jersey: Prentice-Hall, Inc.
	2	Averill M. Law , W. David Kelton, Simulation Modeling and Analysis, McGraw-Hill Higher Education, 1997
	3	Michael Pidd, Systems Modelling: Theory and Practice, John Wiley & Sons, 2004
	4	Robinson, S. 2001. Soft with a hard centre: discrete-event simulation in facilitation. Journal of the Operational Research Society. 52(8): 905--915.
	5	Robinson, S. 2002. Modes of simulation practice: approaches to business and military simulation. Simulation Practice and Theory. 10: 513--523.
	6	Stewart Robinson, Simulation: The Practice of Model Development and Use, John Wiley & Sons, 2004
	7	Robert G. Sargent , Richard E. Nance , C. Michael Overstreet , Stewart Robinson , Jayne Talbot, The simulation project life-cycle: models and realities, Proceedings of the 38th conference on Winter simulation, December 03-06, 2006, Monterey, California
	8	Vennix, J. A. M. 1996. Group Model Building: Facilitating Team Learning using System Dynamics. Chichester, United Kingdom: Wiley.

Collaborative Colleagues:

Michael Pidd: colleagues

Stewart Robinson: colleagues

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