This paper advocates some mind-set changes concerning the problem of optimization of the performance of general discrete event dynamic systems under uncertainty via simulation. We present arguments and evidence that orders of magnitude improvement in computational efficiency are possible and summarize a set of works by the Harvard DEDS group in this area over the past decade.