If nonparametric models, such as data envelopment analysis, were ever considered as simple pushbutton technologies, this is impossible when many variables are available or when data have to be compiled from several sources. Research on chinas commercial banks rating and ranking based on dea. A charnes, ww cooper, b golany, l seiford, j stutz. Data envelopment analysis an overview sciencedirect topics. Seiford and j, zhu, 2011, springer in an effort to extend the frontier of dea research. Data envelopment analysis dea is a nonparametric method in is used to measure the relative efficiency of comparable. Operations management and management science rajiv d. This cited by count includes citations to the following articles in scholar. International conference on dea, august 2012, natal, brazil, 340pp, isbn.
Supply chain management is an important competitive strategies used by modern enterprises. Download for offline reading, highlight, bookmark or take notes while you read introduction to data envelopment analysis and its uses. Data envelopment analysis dea is a clustering methodology for records in data sets corresponding to entities sharing a common list of attributes. 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. Buy the paperback book handbook on data envelopment analysis by william w. Oclcs webjunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus. In fact, the handbook demonstrates that dea can be viewed as data envelopment analytics. In many cases evaluations of these entities have been resistant to other approaches because. Zhu, handbook on data envelopment analysis, kluwer academic publishers, boston, 2004, pp. This handbook covers dea topics that are extensively used and solidly based. Theory and applications proceedings of the 10th international conference on dea edited by. It is used to empirically measure productive efficiency of decision making units dmus. Data envelopment analysis dea is a nonparametric method in is used to measure the relative efficiency of comparable institutions and also used for benchmarking in operations management.
Seiford, and joe zhu 3 sensitivity analysis in dea 71 william w. Broadly defined, dea partitions the records into two subsets. Download it once and read it on your kindle device, pc, phones or tablets. Data envelopment analysis dea, occasionally called frontier analysis, was first put forward by charnes, cooper and rhodes in 1978. Dea has been successfully applied to a host of different types of entities engaged in a wide variety of activities in many contexts worldwide. Data envelopment analysis dea is a typical nonparametric method that measures relative efficiency by comparing it with the possible production frontiers of decisionmaking units dmus with multiple inputs and outputs using linear programming farrell, 1957. This page supplements the material presented in the handbook of data envelopment analysis, cooper, sieford, and zhu, eds. Data envelopment analysis dea is a linear programming methodology to measure the efficiency of multiple decisionmaking units dmus when the production process presents a structure of multiple inputs and outputs. Cooper, 9781461429999, available at book depository with free delivery worldwide. Handbook on data envelopment analysis international. There is a weakness in conventional dea models that it does not allow uncertainty variations in input and output variables however, in many real life. Numerous and frequentlyupdated resource results are available from this search.
Data envelopment analysis dea is a nonparametric method in operations research and economics for the estimation of production frontiers. It is a performance measurement technique which, as we shall see, can be used for evaluating the relative efficiency of decisionmaking units dmus in organisations. Data envelopment analysis dea is a relatively new dataoriented approach for evaluating the performances of a set of entities called decision making units dmus which convert multiple inputs into multiple outputs. However, formatting rules can vary widely between applications and fields of interest or study. Data envelopment analysis dea is a nonparametric methodology generally used to assess the relative efficiency of a set of homogeneous decision making units dmus cooper et al. This handbook has been developed as a comprehensive reference for researchers, students and practitioners. View citations in econpapers 49 track citations by. Handbook on data envelopment analysis ebook, 2011 worldcat.
Introduction to data envelopment analysis and its uses. Data envelopment analysis dea in massive data sets. His research on data envelopment analysis includes 15 articles coauthored with william w. Practitioners assess performance of entities in increasingly large and complicated datasets. The ccr ratio form introduced by charnes, cooper and rhodes, as part of their data envelopment analysis approach, comprehends both technical and scale inefficiencies via the optimal value of the ratio form, as obtained directly from the data without requiring a priori specification of weights andor explicit delineation of assumed functional. Handbook on data envelopment analysis, kluwer academic publishers, boston, 2004. Neralic, forthcoming in journal of the operational research society, 66, 1, january 2015, pp. These issues include model orientation, input and output selectiondefinition, the use of mixed and raw data, and the number of inputs and outputs to use versus the number of decision making units dmus. Nov 11, 20 handbook on data envelopment analysis by william w. Cooper framework ali emrouznejads data envelopment. Dea has been used for both production and cost data. This chapter discusses returns to scale rts in data envelopment analysis dea. Cooper, lawrence seiford and joe zhu in international series in operations research and management science from springer, currently edited by camille c. Handbook on data envelopment analysis, book by william w.
Aug 23, 2011 handbook on data envelopment analysis william w. It provides a comprehensive source for the stateofthe art dea modeling on internal structures and network dea. Banker obtained his bachelor of science degree at the university of bombay in 1973, and his phd at harvard university in 1980 his early research focused on productivity, economies of scale, operational efficiency, and data envelopment analysis. Free shipping and pickup in store on eligible orders. A data envelopment analysis approach to supply chain efficiency.
Dea was initially developed by charnes, cooper, rhodes 1978. Dea has been used in evaluating the performances of many different kinds of. It reflects the stateoftheart in data envelopment analysis. Chapter 2 returns to scale in dea semantic scholar.
Use features like bookmarks, note taking and highlighting while reading handbook on data envelopment analysis international series in. Ww cooper, s li, lm seiford, k tone, rm thrall, j zhu. It has been successfully applied to a host of different entities engaged in a wide variety of activities in many contexts worldwide. It provides a comprehensive source for the stateofthe art dea modeling on. Reliable information about the coronavirus covid19 is available from the world health organization current situation, international travel. History, models, and interpretations chapter august 2011 with 23,483 reads. Handbook on data envelopment analysis, international series in operations research and management science, springer, number 9781441961518, march. Data envelopment analysis in the presence of both quantitative and qualitative factors. Handbook on data envelopment analysis by william w. This handbook serves as a complement to the handbook on data envelopment analysis eds, w.
This handbook is intended to represent a milestone in the progression of dea. Cooper is the author of data envelopment analysis 4. Seiford, and joe zhu 2 returns to scale in dea 41 rajiv d. Cooper, and joe zhu introduction to data envelopment analysis and its uses with deasolver software and references, springer, new york, 2006. An illustrative study of economic performance of chinese cities j zhu european journal of operational research 111 1, 5061, 1998. Data envelopment analysis dea is a mathematical programming based approach for measuring relative efficiency of decision making units dmus that have multiple inputs and outputs. It also represents a milestone in the progression of a continuously advancing methodology.
In a relatively short period of time data envelopment analysis dea has grown into a powerful quantitative, analytical tool for measuring and evaluating performance. Journal of productivity analysis 15 3, 217246, 2001. Data envelopment analysis this handbook serves as a complement to the handbook on data envelopment analysis eds, w. Data envelopment analysis dea has grown into a powerful quantitative, analytical tool for measuring and evaluating performance. It defines the stateoftheart of dea methodology and its uses. Handbook on data envelopment analysis international series. Some models for estimating technical and scale inefficiencies. The purpose of the handbook is to 1 describe and elucidate the state of the field and 2, where appropriate, extend the frontier of dea research.
This distinction is not pertinent for the additive model, which simultaneously maximizes outputs and minimizes inputs in the sense of a vector. Operations management and management science rajiv. Handbook on data envelopment analysis ekirja ellibs e. Data envelopment analysis is a novel decision making tool based on the principle of linear programming to compare the relative operational efficiency of a set of comparable decision making units even with multiple inputs and outputs. Oct 24, 20 buy the paperback book handbook on data envelopment analysis by william w. An empirical study of the minnesota independent school districts, with h. With deasolver software and references ebook written by william w. Whether it is the researcher, the practitioner or the student, the use of the dea methodology gives rise to some important questions before proceeding to a dea analysis. A data envelopment analysis approach to supply chain. Cooper framework ali emrouznejads data envelopment analysis. Utilizing the selected variables, such as unit cost and output, dea software. Recently, data envelopment analysis dea has been extended to examine the efficiency of supply chain operations. In handbook on data envelopment analysis, springer us. Handbook on data envelopment analysis springerlink.
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