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Journal ArticleDOI

Measuring performance of two-stage network structures by DEA: A review and future perspective

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TLDR
In this article, the authors present a review of data envelopment analysis (DEA) methods for peer decision-making units (DMUs) and show that all the existing approaches can be categorized as using either Stackelberg (leader-follower) or cooperative game concepts.
Abstract
Data envelopment analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs). An important area of development in recent years has been devoted to applications wherein DMUs represent two-stage or network processes. One particular subset of such processes is those in which all the outputs from the first stage are the only inputs to the second stage. The current paper reviews these models and establishes relations among various approaches. We show that all the existing approaches can be categorized as using either Stackelberg (leader-follower), or cooperative game concepts. Future perspectives and challenges are discussed.

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Proceedings ArticleDOI

A review of Data Development Analysis (DEA) applications in supply chain management research

TL;DR: It was found that even though both DEA and SCM were established as a field of study for a long time but there are only a few that applied the DEA to SCM, most of studies applying DEA in SCM did not consider the whole supply chain, only some parts of the chain were analyzed.
Journal ArticleDOI

Two-stage network DEA with shared resources: Illustrating the drawbacks and measuring the overall efficiency

TL;DR: In this paper , the authors proposed an input-output-oriented linear model to measure the overall efficiency of two-stage decision-making units with shared resources, and an empirical example on twenty manufacturing supply chains is provided to demonstrate the applicability of the proposed model.
Journal ArticleDOI

Performance evaluation for regional innovation systems development in China based on the two-stage SBM-DNDEA model

TL;DR: Wang et al. as mentioned in this paper used the two-stage slacks-based measure dynamic network data envelopment analysis (SBM-DNDEA) model, to explore the value-creation process of regional innovation systems in China.
Journal ArticleDOI

Evaluation of Supply Chain Efficiency Based on a Novel Network of Data Envelopment Analysis Model

TL;DR: The Slack-based measure (SBM) model is extended to a nonradial, nonoriented network model named as U-NSBM with the presence of undesirable outputs in the SC to provide more insights for decision makers about the source of inefficiency as well as the guidance to improve the SC performance.
Journal ArticleDOI

Double Frontier Two-Stage Fuzzy Data Envelopment Analysis

TL;DR: Data envelopment analysis (DEA) is a mathematical programming approach with widespread applications in productivity and efficiency analysis and compared with traditional DEA models, two-stage DEA mode...
References
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Journal ArticleDOI

Measuring the efficiency of decision making units

TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.
BookDOI

Handbook on data envelopment analysis

TL;DR: In this article, the authors present DEA Software Tools and Technology: A State-of-the-Art Survey with DEA Estimators and their Applications in Data Envelopment Analysis.
Journal ArticleDOI

Efficiency decomposition in two-stage data envelopment analysis: an application to non-life insurance companies in taiwan

TL;DR: The relational model developed in this paper is more reliable in measuring the efficiencies and consequently is capable of identifying the causes of inefficiency more accurately.
Journal ArticleDOI

Network DEA: A slacks-based measure approach

TL;DR: A slacks-based network DEA model is proposed, called Network SBM, that can deal with intermediate products formally and evaluate divisional efficiencies along with the overall efficiency of decision making units (DMUs).
Journal ArticleDOI

Profitability and Marketability of the Top 55 U.S. Commercial Banks

TL;DR: In this article, the authors examined the performance of the top 55 U.S. commercial banks via a two-stage production process that separates profitability and marketability and uncovered substantial performance inefficiency in both dimensions.
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