Modeling paradigms for discrete event simulation

Authors:
Lee Schruben;Enver Yücesan
Affiliations:
Cornell University, School of Operations Research, and Industrial Engineering, Ithaca, New York 14853, USA;INSEAD, European Institute of Business Administration, Boulevard de Constance, 77305 Fontainebleau Cedex, France
Venue:
Operations Research Letters
Year:
1993

Citing 19
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Abstract

This paper reviews modeling paradigms for discrete event simulation. Various formalisms are described and critically discussed in terms of both their ability to contribute to an improved theory of simulation and their capability for assisting in effective model construction and implementation. The mathematics of graph theory are suggested as a rigorous and comprehensive basis for specifying discrete event simulation models. In particular, Simulation Graphs are described and shown to possess many of the desirable features of a modern model-based problem-solving environment.