Arun Jotshi

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The aim is to develop a robust methodology for dispatching and routing of emergency vehicles (EVs) in a post-disaster environment with the support of data fusion for decision-making. In this work we consider an earthquake scenario with a large number of casualties needing medical attention. With the influx of information (about the casualties, road and(More)
We consider the problem of searching for immobile friendly entities on an undirected network. The focus is on finding the first such entity. The search time is a random variable, whose probability density function (pdf) depends upon the path and also upon information about entity location. We seek a path choice that minimizes the expected search time. This(More)
Abstract – The goal of our work is to develop a scalable methodology to a variety of applications requiring data fusion support for decision-making, which has direct applicability to a disaster or homeland security situation. In this work we have considered a dynamic disaster environment where an earthquake has struck and thousands of casualties are to be(More)
This article is focused on the benefits of reducing variability and the role of operations research techniques in efficient operating room (OR) redesign through process improvement and optimal management of scheduled and emergent surgeries at hospitals. Issues at a participant hospital are studied which are presented in this article where in the authors(More)
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