Jammed randomly packed beds of monodisperse spherical particles are often considered as an optimum morphology for chromatographic systems. However, it has been shown in the literature that ordered packed beds of spheres provide an advantage over randomly packed spheres under optimum column conditions. Using three-dimensional printing, these ordered packings can now be applied to physical systems, bringing practical relevance to this research. This study elaborates on the potential of these ordered systems by using computational fluid dynamics to model flow and dispersion in these ordered system, showing that they provide substantial improvements in chromatographic efficiency.