  In this paper, we present a case study demonstrating how dynamic and
uncertain criteria can be incorporated into a multicriteria analysis with the
help of discrete event simulation. The simulation guided multicriteria analysis
can include both monetary and non-monetary criteria that are static or dynamic,
whereas standard multi criteria analysis only deals with static criteria and
cost benefit analysis only deals with static monetary criteria. The dynamic and
uncertain criteria are incorporated by using simulation to explore how the
decision options perform. The results of the simulation are then fed into the
multicriteria analysis. By enabling the incorporation of dynamic and uncertain
criteria, the dynamic multiple criteria analysis was able to take a unique
perspective of the problem. The highest ranked option returned by the dynamic
multicriteria analysis differed from the other decision aid techniques.
