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- Data_envelopment_analysis abstract "Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers. It is used to empirically measure productive efficiency of decision making units (or DMUs). Although DEA has a strong link to production theory in economics, the tool is also used for benchmarking in operations management, where a set of measures is selected to benchmark the performance of manufacturing and service operations. In the circumstance of benchmarking, the efficient DMUs, as defined by DEA, may not necessarily form a “production frontier”, but rather lead to a “best-practice frontier” (Cook, Tone and Zhu, 2014). DEA is referred to as \"balanced benchmarking\" by Sherman and Zhu (2013).Non-parametric approaches have the benefit of not assuming a particular functional form/shape for the frontier, however they do not provide a general relationship (equation) relating output and input. There are also parametric approaches which are used for the estimation of production frontiers (see Lovell & Schmidt 1988 for an early survey). These require that the shape of the frontier be guessed beforehand by specifying a particular function relating output to input. One can also combine the relative strengths from each of these approaches in a hybrid method (Tofallis, 2001) where the frontier units are first identified by DEA and then a smooth surface is fitted to these. This allows a best-practice relationship between multiple outputs and multiple inputs to be estimated.\"The framework has been adapted from multi-input, multi-output production functions and applied in many industries. DEA develops a function whose form is determined by the most efficient producers. This method differs from the Ordinary Least Squares (OLS) statistical technique that bases comparisons relative to an average producer. Like Stochastic Frontier Analysis (SFA), DEA identifies a \"frontier\" which are characterized as an extreme point method that assumes that if a firm can produce a certain level of output utilizing specific input levels, another firm of equal scale should be capable of doing the same. The most efficient producers can form a 'composite producer', allowing the computation of an efficient solution for every level of input or output. Where there is no actual corresponding firm, 'virtual producers' are identified to make comparisons\" (Berg 2010).Attempts to synthesize DEA and SFA, improving upon their drawbacks, were also made in the literature, via proposing various versions of non-parametric SFA and Stochastic DEA.".
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- Data_envelopment_analysis wikiPageExternalLink dea.
- Data_envelopment_analysis wikiPageExternalLink j.ejor.2010.07.025.
- Data_envelopment_analysis wikiPageExternalLink j.eswa.2012.08.027.
- Data_envelopment_analysis wikiPageExternalLink j.eswa.2013.08.061.
- Data_envelopment_analysis wikiPageExternalLink j.seps.2007.07.002.
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- Data_envelopment_analysis wikiPageExternalLink abstract=1353122.
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- Data_envelopment_analysis wikiPageExternalLink DEA-socioEcoPlanning.pdf.
- Data_envelopment_analysis wikiPageExternalLink EJOR_free1.pdf.
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- Data_envelopment_analysis wikiPageExternalLink index.php?title=Open_Source_DEA.
- Data_envelopment_analysis wikiPageExternalLink principles-of-using-efficiency-measures-for-yardstick-regulation.
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- Data_envelopment_analysis wikiPageWikiLink Abraham_Charnes.
- Data_envelopment_analysis wikiPageWikiLink Category:Operations_research.
- Data_envelopment_analysis wikiPageWikiLink Econometric_Reviews.
- Data_envelopment_analysis wikiPageWikiLink Economics.
- Data_envelopment_analysis wikiPageWikiLink European_Journal_of_Health_Economics.
- Data_envelopment_analysis wikiPageWikiLink European_Journal_of_Operational_Research.
- Data_envelopment_analysis wikiPageWikiLink German_Economic_Review.
- Data_envelopment_analysis wikiPageWikiLink Health_Care_Management_Review.
- Data_envelopment_analysis wikiPageWikiLink Health_Services_Management_Research.
- Data_envelopment_analysis wikiPageWikiLink Journal_of_Applied_Econometrics.
- Data_envelopment_analysis wikiPageWikiLink Journal_of_the_Operational_Research_Society.
- Data_envelopment_analysis wikiPageWikiLink Journal_of_the_Royal_Statistical_Society.
- Data_envelopment_analysis wikiPageWikiLink Klaus_Brockhoff.
- Data_envelopment_analysis wikiPageWikiLink Linear_programming.
- Data_envelopment_analysis wikiPageWikiLink Management_Science_(journal).
- Data_envelopment_analysis wikiPageWikiLink Microeconomics.
- Data_envelopment_analysis wikiPageWikiLink Nonparametric_statistics.
- Data_envelopment_analysis wikiPageWikiLink Operations_research.
- Data_envelopment_analysis wikiPageWikiLink Ordinary_least_squares.
- Data_envelopment_analysis wikiPageWikiLink Parametric_statistics.
- Data_envelopment_analysis wikiPageWikiLink Pareto_efficiency.
- Data_envelopment_analysis wikiPageWikiLink Productive_efficiency.
- Data_envelopment_analysis wikiPageWikiLink Returns_to_scale.
- Data_envelopment_analysis wikiPageWikiLink Socio-Economic_Planning_Sciences.
- Data_envelopment_analysis wikiPageWikiLink Stochastic_frontier_analysis.
- Data_envelopment_analysis wikiPageWikiLink William_W._Cooper.
- Data_envelopment_analysis wikiPageWikiLinkText "Data envelopment analysis".
- Data_envelopment_analysis wikiPageWikiLinkText "data envelopment analysis".
- Data_envelopment_analysis date "July 2011".
- Data_envelopment_analysis reason "what is a production frontier".
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- Data_envelopment_analysis subject Category:Operations_research.
- Data_envelopment_analysis hypernym Method.
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- Data_envelopment_analysis comment "Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers. It is used to empirically measure productive efficiency of decision making units (or DMUs). Although DEA has a strong link to production theory in economics, the tool is also used for benchmarking in operations management, where a set of measures is selected to benchmark the performance of manufacturing and service operations.".
- Data_envelopment_analysis label "Data envelopment analysis".
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- Data_envelopment_analysis sameAs Data_Envelopment_Analysis.
- Data_envelopment_analysis sameAs 자료_포락_분석.
- Data_envelopment_analysis sameAs Análise_por_envoltória_de_dados.
- Data_envelopment_analysis sameAs m.03pssy.
- Data_envelopment_analysis sameAs Анализ_среды_функционирования.
- Data_envelopment_analysis sameAs Q647974.
- Data_envelopment_analysis sameAs 数据包络分析.
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- Data_envelopment_analysis isPrimaryTopicOf Data_envelopment_analysis.