Concepts Of Simulation Model Size And Complexity

Simulation modelling is the business of reducing complexity of the real world. Keep your models small and simple, is the basic heuristic found in simulation & modelling literature; yet the modellers are developing models of increasing size and complexity. Simulation model size and complexity is generally a less debated and poorly understood area. Despite the importance of model simplification and its relation with size and complexity; only a handful of papers, addressing the size and complexity of simulation models, can be found. This paper reports on general concepts of simulation model size and complexity held by expert modellers and proposes a framework to understand the origins of simulation model size and complexity. Size and complexity are two most important contextual factors that may affect simulation practice. Increased understanding of concepts of simulation model size and complexity held by the modellers will potentially underpin simulation methodology research and help us in addressing the issues raised by increasing size and complexity of simulation models. (Received in February 2015, accepted in November 2015. This paper was with the authors 1 month for 1 revision.)

[1]  R.G. Sargent,et al.  Verification and validation: what impact should project size and complexity have on attendant V&V activities and supporting infrastructure? , 1999, WSC'99. 1999 Winter Simulation Conference Proceedings. 'Simulation - A Bridge to the Future' (Cat. No.99CH37038).

[2]  Stewart Robinson,et al.  Modes of simulation practice: approaches to business and military simulation , 2002, Simul. Model. Pract. Theory.

[3]  Erin Hall,et al.  Finding the appropriate level of complexity for a simulation model: An example with a forest growth model , 2008 .

[4]  Enver Yücesan,et al.  On the Complexity of Verifying Structural Properties of Discrete Event Simulation Models , 1999, Oper. Res..

[5]  Roger J. Brooks,et al.  Choosing the best model: Level of detail, complexity, and model performance , 1996 .

[6]  Stephen G. Powell,et al.  The Teachers’ Forum: Six Key Modeling Heuristics , 1995 .

[7]  James O. Henriksen Taming the Complexity Dragon , 2006 .

[8]  Ray J. Paul,et al.  On simulation model complexity , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

[9]  Michael Pidd,et al.  Just Modeling Through: A Rough Guide to Modeling , 1999, Interfaces.

[10]  Stephen Ward,et al.  Arguments for Constructively Simple Models , 1989 .

[11]  James D. Arthur,et al.  Achieving reusability and composability with a simulation conceptual model , 2011, J. Simulation.

[12]  P. L'Ecuyer,et al.  Panel: strategic directions in simulation research , 1999, WSC'99. 1999 Winter Simulation Conference Proceedings. 'Simulation - A Bridge to the Future' (Cat. No.99CH37038).

[13]  Rizwan Ahmed,et al.  Exploring the Context and Practices of Expert Simulation Modellers , 2015 .

[14]  Paul K. Davis,et al.  Improving the Composability of DoD Models and Simulations , 2004 .