Nilay Tanik Argon

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Efficient Computation of Overlapping Variance Estimators for Simulation Christos Alexopoulos H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA, Nilay Tanık Argon Department of Industrial and Systems Engineering, University of Wisconsin–Madison, Madison,(More)
In many service systems, customers are not served in the order they arrive, but according to a priority scheme that ranks them with respect to their relative “importance.” However, it may not be an easy task to determine the importance level of customers, especially when decisions need to be made under limited information. A typical example is from health(More)
The most widely used standard for mass-casualty triage, START, relies on a fixed-priority ordering among different classes of patients, and does not explicitly consider resource limitations or the changes in survival probabilities with respect to time. We construct a fluid model of patient triage in a mass-casualty incident that incorporates these factors(More)
In the aftermath of mass-casualty events, key resources (such as ambulances and operating rooms) can be overwhelmed by the sudden jump in patient demand. To ration these resources, patients are assigned different priority levels, which is called triage. According to triage protocols in place, each patient’s priority level is determined based on that(More)
We consider a network of parallel service stations each modelled as a single server queue. Each station serves its own dedicated customers as well as generic customers who are routed from a central controller. We suppose that the cost incurred by a customer is an increasing function of her time spent in system. In a significant advance on most previous(More)
We examine properties of overlapped versions of the standardized time series area and Cramér-von Mises estimators for the variance parameter of a stationary stochastic process, e.g., a steady-state simulation output process. We find that the overlapping estimators have the same bias properties as, but lower variance than, their nonoverlapping(More)
Independent replications (IR) and batch means (BM) are two of the most widely used variance-estimation methods for simulation output analysis. Alexopoulos and Goldsman conducted a thorough examination of IR and BM; and Andradóttir and Argon proposed the method of replicated batch means (RBM), which combines good characteristics of IR and BM. This(More)
To celebrate the fortieth anniversary of the Winter Simulation Conference, we have selected ten landmark papers from the four decades of the conference. In this article, we review these landmark papers and discuss their impact on the theory, education, and practice of simulation.