H
Herbert F. Lewis
Researcher at Stony Brook University
Publications - 24
Citations - 1255
Herbert F. Lewis 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 11, co-authored 23 publications receiving 1118 citations. Previous affiliations of Herbert F. Lewis include State University of New York System.
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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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Resolving the deposit dilemma: A new DEA bank efficiency model.
Dmytro Holod,Herbert F. Lewis +1 more
TL;DR: The authors proposed an alternative Data Envelopment Analysis (DEA) bank efficiency model that treats deposits as an intermediate product, thus emphasizing the dual role of deposits in the bank production process.
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Multi-period job selection: planning work loads to maximize profit
TL;DR: This work examines the profitability of job selection decisions over a number of periods when current orders exceed capacity with the objective of maximizing profit, and finds one heuristic that produces near-optimal results for small problems, is tractable for larger problems, and requires the same information as the dynamic program.
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Data envelopment analysis with reverse inputs and outputs.
TL;DR: This work proposes to incorporate reverse inputs and outputs into a DEA model by returning to the basic principles that lead to the DEA model formulation, and compares the method to reverse scoring, the most commonly used approach, and demonstrates the relative advantages of the proposed technique.