Choosing the Right Entity Size to Minimize Discretization Error in Discrete Event Simulation Models

In discrete-event simulation models, the way we establish the relationship between a real-world object and the model entity (a single indivisible object flowing through the model) is crucial to some classes of problems due to possible computational unfeasibility. In addition, the entity size also relates to results accuracy and simulation running time - a subject barely explored in the literature. In this paper, these questions were investigated through case studies which supported our initial hypothesis about the general relationships involved. Then, a simple algorithm was developed for correctly choosing the best entity size to provide the desired accuracy, measured as a discretization error, with promising results. The limitations of the algorithm are addressed and some directions for future research are pointed.