  Variance reduction techniques have been shown by others in the past to be a
useful tool to reduce variance in Simulation studies. However, their
application and success in the past has been mainly domain specific, with
relatively little guidelines as to their general applicability, in particular
for novices in this area. To facilitate their use, this study aims to
investigate the robustness of individual techniques across a set of scenarios
from different domains. Experimental results show that Control Variates is the
only technique which achieves a reduction in variance across all domains.
Furthermore, applied individually, Antithetic Variates and Control Variates
perform particularly well in the Cross-docking scenarios, which was previously
unknown.
