Abstract
This study aims to describe the various capabilities of the simmer package for R, particularly when running a discrete event simulation model. It then develops a technique for building effective DES simulation models that accurately represent real systems and examines the simulation output on this simmer, both in statistical summary form and parameter estimation. The literature review method with descriptive and exploratory methodologies was employed in this study. When starting with simple models and progressing to more complicated forms step by step while explaining the system with a flow chart, model development is more successful. It is simple to replicate simulations in order to obtain standard error values for model parameter estimators. Creating a discrete event simulation in stages.
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