Justin Boesel

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In this paper we address the problem of finding the simulated system with the best (maximum or minimum) expected performance when the number of systems is large and initial samples from each system have already been taken. This problem may be encountered when a heuristic search procedure—perhaps one originally designed for use in a deterministic(More)
In 2001, Detroit Metropolitan Wayne County Airport (DTW) opened a new runway parallel to three existing runways. While this increases DTW's runway capacity, the airport is served by an airspace (routes, procedures, and controller assignments) that was designed only for a three-runway airport. To increase the airport's effective capacity, the Detroit-area(More)
An airplane's ability to absorb delay while airborne is limited and costly. Because of this, the air traffic control system anticipates and manages excessive demand for scarce shared resources, such as arrival runways or busy airspace, so that the delay necessary for buffering can be spread out over a larger distance, or taken on the ground before(More)
The combination of simulation and optimization, essentially unheard of in practice a decade ago, is much more accessible today, thanks in large part to the development of commercial optimization software designed for use with existing simulation packages. Despite this growth, untapped applications abound. This panel, which includes developers of(More)
This paper presents a method that uses initial sample data to choose between statistical procedures for identifying the simulated system with the best (maximum or minimum) expected performance. The method chooses the procedure that minimizes the additional number of simulation replications required to return a pre-specified probability guarantee. This(More)
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