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Equivalent solutions to additive two-stage network data envelopment analysis

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TLDR
The current study shows that the two approaches to solve additive two-stage network DEA model are equivalent and use the same parameter in searching for the global optimal solution.
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This article is published in European Journal of Operational Research.The article was published on 2018-02-01. It has received 10 citations till now. The article focuses on the topics: Data envelopment analysis & Additive model.

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Assessing the relative efficiency of Chinese high-tech industries: a dynamic network data envelopment analysis approach

TL;DR: A new dynamicTwo-stage data envelopment analysis approach is proposed to measure the efficiency of a high-tech activity system with a two-stage structure and shared outputs, and indicates that Chinese high- tech industries are weak in the technology digestion and absorption stage.
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Sustainably resilient supply chains evaluation in public transport: A fuzzy chance-constrained two-stage DEA approach

TL;DR: In this paper, a fuzzy chance-constrained two-stage data envelopment analysis (DEA) model is proposed to evaluate the sustainability and resilience of sustainable supply chains.
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Variations effect of intermediate products on the second stage in two-stage processes

TL;DR: The current research proposes a DEA approach to determine the range of variations of the intermediate products and specify the effect of these variations on the outputs of the second stage in the presence of both negative and non-negative data.
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Developing a linear stochastic two-stage data envelopment analysis model for evaluating sustainability of supply chains: a case study in welding industry

TL;DR: A new stochastic two-stage data envelopment analysis (DEA) model for assessing the sustainability of supply chains and the efficacy of the developed approach is shown by a case study.
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Environmental performance evaluation of European farms by assessing polluting factors in joint production

TL;DR: In this paper, the authors take into account the amount of pollutants emitted, in addition to the classic input and output parameters in DEA, in each of the stages to measure the environmental efficiency of the overall system and decompose it into stagelevel environmental efficiencies.
References
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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.
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Additive efficiency decomposition in two-stage DEA

TL;DR: The current paper develops an additive efficiency decomposition approach wherein the overall efficiency is expressed as a (weighted) sum of the efficiencies of the individual stages and can be applied under both CRS and variable returns to scale (VRS) assumptions.
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DEA models for supply chain efficiency evaluation

TL;DR: It is shown that a supply chain can be deemed as efficient while its members may be inefficient in DEA-terms, and several DEA-based non-linear programs can be treated as parametric linear programming problems, and best solutions can be obtained via a heuristic technique.
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DEA Models for Two-Stage Processes: Game Approach and Efficiency Decomposition

TL;DR: In this paper, the authors examined and extended these models using game theory concepts and showed that the non-cooperative approach yields a unique efficiency decomposition under multiple intermediate measures, while the centralized approach is likely to yield multiple decompositions.
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