Journal ArticleDOI
Two-Stage DEA: An Application to Major League Baseball
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TLDR
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.Abstract:
We show how to use DEA to model DMUs that produce in two stages, with output from the first stage becoming input to the second stage. Our model allows for any orientation or scale assumption. We apply the model to Major League Baseball, demonstrating its advantages over a standard DEA model. Our model detects inefficiencies that standard DEA models miss, and it can allow for resource consumption that the standard DEA model counts towards inefficiency. Additionally, our model distinguishes inefficiency in the first stage from that in the second stage, allowing managers to target inefficient stages of the production process.read more
Citations
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Journal ArticleDOI
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.
Journal ArticleDOI
Data envelopment analysis efficiency in two-stage networks with feedback
TL;DR: In this paper, the authors extended this idea to include those situations where outputs from the second stage can be fed back as inputs to the first stage, such as the measurement of performance of a set of supply chains.
Journal ArticleDOI
Frontier-based performance analysis models for supply chain management: State of the art and research directions
TL;DR: The state of the art in network DEA modeling, in particular two-stage models, are reviewed, along with a critical review of the advanced applications that are reported in terms of the consistency of the underlying assumptions and the results derived.
Journal ArticleDOI
Scale and cost efficiency analysis of networks of processes
TL;DR: A simple way of computing technical, scale, cost and allocative efficiency scores for homogeneous networks of processes is presented and is illustrated with a two-stage problem from the literature, showing the usefulness of a more detailed problem assessment.
Journal ArticleDOI
Performance evaluation of participating nations at the 2012 London Summer Olympics by a two-stage data envelopment analysis
TL;DR: The efficiency of each participating nation in the entire two-stage Olympic process is calculated as a product of the efficiencies of both stages, and a heuristic search is applied to the extended relational model.
References
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Journal ArticleDOI
Productivity and intermediate products: a frontier approach
Rolf Färe,Shawna Grosskopf +1 more
TL;DR: In this paper, a non-parametric productivity measure that explicitly incorporates intermediate products is proposed, which is based on the Productivity Index (PII) and employs a nonparametric approach to measure productivity.
Journal ArticleDOI
Incorporating the Operating Environment Into a Nonparametric Measure of Technical Efficiency
TL;DR: A nonparametric, linear programming, frontier procedure for obtaining a measure of managerial efficiency that controls for exogenous features of the operating environment is introduced.
Posted Content
Productivity and Intermediate Products: A Frontier Approach
Rolf Färe,Shawna Grosskopf +1 more
TL;DR: In this article, the authors introduce a frontier model for productivity measurement that explicitly recognizes that some inputs are produced and consumed within the production technology, where intermediate inputs may also be final output.
Journal ArticleDOI
An intermediate input model of dairy production using complex survey data
Rolf Färe,Gerald Whittaker +1 more
TL;DR: It is found that the decomposition of production into subproduction processes reduces the dimensions of problem specification, with the effect that a larger number of variables may be usefully included in the model.
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