Automation of Simplification in Discrete Event Modelling and Simulation*

Discrete event models in material flow simulation are growing constantly in scope and resolution. Model abstraction is necessary to allow simulation experiments of efficient runtime. Automatic model abstraction is able to make the work of simulation experts easier. Thus only the models with highest complexity have to be created and maintained. In this paper techniques necessary for automatic model abstraction are reviewed. At the beginning, definitions complexity and validity are discussed. Following are methods to measure these model characteristics. And finally methods for abstraction and some practices are presented. Concluding the lack of a unified modeling framework and the lack of quantitative measures of abstraction results is asserted.

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“…Sevinc [Sev90] uses homomorphisms to abstract models. Homomorphisms for model abstraction are introduced by Foo and Zeigler [Foo74,ZPK00].…”

Section: Practicesmentioning

confidence: 99%

To Automatic Model Abstraction: A Technical Review

Dangelmaier¹,

Huber²,

Laroque³

et al. 2007

ECMS 2007 Proceedings Edited By: I. Zelinka, Z. Oplatkova, A. Orsoni

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“…Yin and Zhou (1989) build upon Zeigler's ideas, discussing six simplification techniques and presenting a case study. Sevinc (1990) provides a semiautomatic procedure based on Zeigler's ideas. Innis and Rexstad (1983) enter into a detailed discussion about how an existing model might be simplified.…”

Section: Methods Of Simplificationmentioning

confidence: 99%

Conceptual modelling for simulation Part I: definition and requirements

Robinson

2008

Journal of the Operational Research Society

359

286

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“…Some simplification methods including dropping unimportant components, using random variables to depict parts of the model, and grouping components of the model are discussed in [18]. Some improved methods are discussed in [17] which are based on the initial methods developed in [18].…”

Section: Modelling Principlesmentioning

confidence: 99%

“…In [17], an attempt is made to automate simplification. It should be noted that formulation and automation may degrade the accuracy of the results.Six important principles of modelling are discussed in [18] that cover simplicity versus complexity and serve as the rough guide to modelling.…”

Section: Surveymentioning

confidence: 99%