This white paper discusses the reduction of waiting time in a process, and uses a simple experiment to show that discrete event simulation is the most effective way to achieve real optimization of any process.

Every process or logistics problem can be viewed as a distribution problem of the cost of waiting times. Factors that impact these waiting times include but are not limited to variability, quality, equipment reliability, staff reliability, and system load factors. When each type of waiting time increases or decreases it has an impact on the other; this creates a tug of war between the