基于产出重要性的交叉效率评价

发布时间：2018-04-12 15:28

本文选题：DEA + 非期望产出　；参考：《华东交通大学》2016年硕士论文

【摘要】：DEA交叉效率是判断决策单元是否有效,并能够进行排名的有效方法。该方法在解决多输入、多输出模式的评价中发挥着重大作用。传统的DEA交叉效率多是以研究决策单元的期望产出(即只考虑企业生产可以带来经济利益的产品)为主,但是随着劳动法和环保法的不断完善,工业生产中非期望产出(即企业所不期望的诸如污染,残次品,工伤)的现象逐步被引起重视。因此对非期望产出的研究显得越来越重要。本文研究的目的是将带有非期望产出的评价引入到DEA交叉效率中。在考虑带有非期望产出的研究中,会存在以下问题:(1)期望产出所带来的产品利润与非期望产出所带来的治理费用往往是不同的,二者存在产出重要性的差异;(2)决策单元的期望产出与非期望产出都存在各自生产效率,且期望产出与非期望产出的生产前沿面也是不同的;(3)期望产出与非期望产出之间存在相互影响。本文对以上问题进行了详细的分析和充分的考虑,提出了重要系数和部分效率值等概念来对以上问题进行量化。通过研究前人关于期望产出的DEA交叉效率模型的理论,结合引入非期望产出带来的新问题,建立了带有非期望产出的评价模型。该模型同时考虑期望产出和非期望产出之间的重要程度及相互影响。实验结果显示决策单元的优劣程度会受三方面的影响分别是:投入、期望产出、非期望产出。其中投入是期望产出和非期望产出的纽带,而期望产出与非期望产出的得分将直接影响决策单元的排名。最后的实验的结果显示能够满足预计的要求,从而能够用此方法来进行对带有非期望产出的问题进行评价。
[Abstract]:DEA crossover efficiency is an effective method to determine the effectiveness of decision-making units and be able to rank.This method plays an important role in the evaluation of multi-input and multi-output modes.The traditional cross efficiency of DEA is mainly based on the expected output of decision making unit (that is, only considering the economic benefits of enterprise production), but with the improvement of labor law and environmental protection law,The phenomenon of non-expected output in industrial production, such as pollution, defective products, industrial injuries, which is not expected by enterprises, has been paid more and more attention.Therefore, the study of unexpected output is becoming more and more important.The purpose of this paper is to introduce the evaluation with unexpected output into DEA cross efficiency.In considering studies with non-expected outputs, there is the following question: 1) the product profits generated by expected outputs are often different from the overhead costs associated with non-expected outputs.There is a difference in the importance of output between them. (2) the expected output and the non-expected output of the decision making unit have their own production efficiency.Moreover, the production frontier of expected output and non-expected output is also different. (3) there is interaction between expected output and non-expected output.In this paper, the above problems are analyzed and considered in detail, and the concepts of important coefficient and partial efficiency value are put forward to quantify the above problems.By studying the theory of DEA cross-efficiency model of expected output and combining the new problem brought by the introduction of non-expected output, the evaluation model with non-expected output is established.The model also considers the importance and interaction between expected output and non-expected output.The experimental results show that the degree of decision making unit is affected by three aspects: input, expected output and non-expected output.Input is the link between expected output and non-expected output, and the score of expected output and non-expected output will directly affect the ranking of decision-making units.Finally, the experimental results show that the expected requirements can be satisfied, so that this method can be used to evaluate the problems with non-expected output.
【学位授予单位】：华东交通大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F224;F273

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