Design of Computer Experiments

The utility of conditional value at risk (CVaR) of a sample of waiting times as a measure for reducing long waiting times is evaluated with special focus on patient waiting times in a hospital. CVaR is the average of the longest waiting times, i.e. a measure at the tail of the waiting time distribution. The presented results are based on a discrete event simulation (DES) model of an orthopedic surgical unit at a university hospital in Denmark. Our ∗cd@imm.dtu.dk 1 52 Conditional Value at Risk as a Measure for Waiting Time in Simulations of Hospital Units

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