T
Thomas R. Sexton
Researcher at Stony Brook University
Publications - 59
Citations - 3279
Thomas R. Sexton is an academic researcher from Stony Brook University. The author has contributed to research in topics: Data envelopment analysis & Inefficiency. The author has an hindex of 21, co-authored 57 publications receiving 2992 citations. Previous affiliations of Thomas R. Sexton include State University of New York System.
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Data Envelopment Analysis: Critique and Extensions
TL;DR: This paper pointed out serious shortcomings in DEA's treatment of price efficiency, illustrates the dangers of misspecification errors in DEA, and suggests extentions of the basic DEA formulation that address these shortcomings.
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Network DEA: efficiency analysis of organizations with complex internal structure
TL;DR: The Network DEA Model allows individual DMU managers to focus efficiency-enhancing strategies on the individual stages of the production process, and can detect inefficiencies that the standard DEA Model misses.
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Two-Stage DEA: An Application to Major League Baseball
TL;DR: In this article, the authors use DEA to model DMUs that produce in two stages, with output from the first stage becoming input to the second stage, and apply the model to Major League Baseball, demonstrating its advantages over a standard DEA model.
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Optimizing Single Vehicle Many-to-Many Operations with Desired Delivery Times: I. Scheduling
Thomas R. Sexton,Lawrence Bodin +1 more
TL;DR: A heuristic routing and scheduling algorithm is shown to produce high quality solutions in reasonable computation time by testing on moderately sized real data bases from both Gaithers-burg, Maryland, and Baltimore, Maryland.
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The methodology of data envelopment analysis
TL;DR: Data envelopment analysis is a linear programming–based method that has clear advantages over competing approaches, but its own limitations should not be overlooked.