Michael Freimer

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Stochastic linear programs can be solved approximately by drawing a subset of all possible random scenarios and solving the problem based on this subset, an approach known as sample path optimization. The value of the optimal solution to the sampled problem provides an estimate of the true objective function value. This estimator is known to be(More)
An early stage of a simulation study often consists of collecting data in order to parameterize the model. This paper addresses the question of how much data to collect, and from what sources. We use designed experiments to identify important unknown parameters, taking into account the current level of information about them. We develop approaches based on(More)
This paper documents a simulation study undertaken to gain insights into the Vari-Metric multi-echelon repairable inventory optimization method. The method was analyzed in the context of the Coast Guard's fleet of fixed and rotary wing aircraft, for which operational availability is the key performance metric. Failure rates of parts in this system exhibit(More)
Facing the prospect of teaching a simulation course for the first time can be a bit overwhelming. This panel shares tips and strategies for teaching simulation based upon a wide variety of experiences, from academic newcomer to many years in the field, and having a variety of student audiences. We hope everyone will come away with a new idea, with our(More)
Simulation Event Graphs (SEGs) are a graphical representation one of the three major simulation world views, event scheduling. This paper describes four advanced modeling techniques that allow the simulation practitioner to gather a great deal of information at relatively little development and/or processing effort beyond that of developing the simulation(More)
In a continually changing environment, a simulation study that integrates the activities of data collection, model analysis, and decision making has some distinct advantages. In this paper we look at simulation project dynamics from a high-level and examine some ways for integrating these activities. From this perspective, the processes used to drive a(More)
Infinitesimal Perturbation Analysis (IPA) estimators of the response gradient for a discrete event stochastic simulation are typically developed within the framework of Generalized semi-Markov processes (GSMPs). Unfortunately, while mathematically rigorous, GSMPs are not particularly useful for modeling real systems. In this paper we describe a procedure(More)
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