Cooper, and joe zhu introduction to data envelopment analysis and its uses with deasolver software and references, springer, new york, 2006. Stanford libraries official online search tool for books, media, journals, databases, government documents and more. However, formatting rules can vary widely between applications and fields of interest or study. 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. 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. In fact, the handbook demonstrates that dea can be viewed as data envelopment analytics. Zhu, handbook on data envelopment analysis, kluwer academic publishers, boston, 2004, pp. Dea was initially developed by charnes, cooper, rhodes 1978. Practitioners assess performance of entities in increasingly large and complicated datasets. Operations management and management science rajiv. Handbook on data envelopment analysis international. It is maintained by dick barr, author of chapter 16, dea software tools and technology. It reflects the stateoftheart in data envelopment analysis. Free shipping and pickup in store on eligible orders.
Handbook on data envelopment analysis by william w. An empirical study of the minnesota independent school districts, with h. International conference on dea, august 2012, natal, brazil, 340pp, isbn. Cooper, lawrence seiford and joe zhu in international series in operations research and management science from springer, currently edited by camille c. A data envelopment analysis approach to supply chain. View citations in econpapers 49 track citations by. 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. In handbook on data envelopment analysis, springer us. It provides a comprehensive source for the stateofthe art dea modeling on internal structures and network dea. Supply chain management is an important competitive strategies used by modern enterprises.
Journal of productivity analysis 15 3, 217246, 2001. Utilizing the selected variables, such as unit cost and output, dea software. Broadly defined, dea partitions the records into two subsets. Seiford, and joe zhu 2 returns to scale in dea 41 rajiv d. Cooper, shanling li, lawrence m, seiford, and joe zhu. Data envelopment analysis of the effieincy frontier for the results achived by. Download for offline reading, highlight, bookmark or take notes while you read introduction to data envelopment analysis and its uses. Aug 23, 2011 handbook on data envelopment analysis william w. 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. A data envelopment analysis approach to supply chain efficiency. Cooper, 9781441961501, available at book depository with free delivery worldwide. 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. Data envelopment analysis this handbook serves as a complement to the handbook on data envelopment analysis eds, w. Data envelopment analysis dea, occasionally called frontier analysis, was first put forward by charnes, cooper and rhodes in 1978.
It provides a comprehensive source for the stateofthe art dea modeling on. Handbook on data envelopment analysis ekirja ellibs e. It is used to empirically measure productive efficiency of decision making units dmus. This cited by count includes citations to the following articles in scholar. With deasolver software and references ebook written by william w. It also represents a milestone in the progression of a continuously advancing methodology. Numerous and frequentlyupdated resource results are available from this search. Use features like bookmarks, note taking and highlighting while reading handbook on data envelopment analysis international series in. Research on chinas commercial banks rating and ranking based on dea. This handbook has been developed as a comprehensive reference for researchers, students and practitioners. Seiford and j, zhu, 2011, springer in an effort to extend the frontier of dea research. In this paper, we address several issues related to the use of data envelopment analysis dea. 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. Data envelopment analysis an overview sciencedirect topics.
Nov 11, 20 handbook on data envelopment analysis by william w. Effective design and management of supply chains assists in the production and delivery of a variety of products at low costs, high quality, and short lead times. Dea has been used in evaluating the performances of many different kinds of. Handbook on data envelopment analysis ebook, 2011 worldcat. Cooper framework ali emrouznejads data envelopment analysis. Some models for estimating technical and scale inefficiencies. This page supplements the material presented in the handbook of data envelopment analysis, cooper, sieford, and zhu, eds. History, models, and interpretations chapter august 2011 with 23,483 reads.
Cooper, 9781461429999, available at book depository with free delivery worldwide. In a relatively short period of time data envelopment analysis dea has grown into a powerful quantitative, analytical tool for measuring and evaluating performance. Neralic, forthcoming in journal of the operational research society, 66, 1, january 2015, pp. Dea has been successfully applied to a host of different types of entities engaged in a. This handbook focuses on data envelopment analysis dea applications in operations analytics which are fundamental tools and techniques for improving operation functions and attaining longterm competitiveness. 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. Cooper is the author of data envelopment analysis 4. It defines the stateoftheart of dea methodology and its uses. Operations management and management science rajiv d. Seiford, and joe zhu 3 sensitivity analysis in dea 71 william w. Dea has been used for both production and cost data. 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. Data envelopment analysis in the presence of both quantitative and qualitative factors.
Data envelopment analysis dea in massive data sets. Handbook on data envelopment analysis springerlink. Handbook on data envelopment analysis, international series in operations research and management science, springer, number 9781441961518, march. This handbook covers dea topics that are extensively used and solidly based.
Chapter 2 returns to scale in dea semantic scholar. Handbook on data envelopment analysis international series. Data envelopment analysis dea is a clustering methodology for records in data sets corresponding to entities sharing a common list of attributes. Cooper framework ali emrouznejads data envelopment. Data envelopment analysis dea has grown into a powerful quantitative, analytical tool for measuring and evaluating performance. 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. Download it once and read it on your kindle device, pc, phones or tablets. Introduction to data envelopment analysis and its uses. A charnes, ww cooper, b golany, l seiford, j stutz. Handbook on data envelopment analysis, kluwer academic publishers, boston, 2004.
Ww cooper, s li, lm seiford, k tone, rm thrall, j zhu. This handbook is intended to represent a milestone in the progression of dea. His research on data envelopment analysis includes 15 articles coauthored with william w. Buy the paperback book handbook on data envelopment analysis by william w. Handbook on data envelopment analysis, book by william w. Oct 24, 20 buy the paperback book handbook on data envelopment analysis by william w. It has been successfully applied to a host of different entities engaged in a wide variety of activities in many contexts worldwide.
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. Recently, data envelopment analysis dea has been extended to examine the efficiency of supply chain operations. In many cases evaluations of these entities have been resistant to other approaches because. Data envelopment analysis dea is a nonparametric method in is used to measure the relative efficiency of comparable. This chapter discusses returns to scale rts in data envelopment analysis dea. Dea has been successfully applied to a host of different types of entities engaged in a wide variety of activities in many contexts worldwide. This handbook serves as a complement to the handbook on data envelopment analysis eds, w. An illustrative study of economic performance of chinese cities j zhu european journal of operational research 111 1, 5061, 1998.
Operations management and management science sensitivity and stability in stochastic data envelopment analysis, with k. 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. Theory and applications proceedings of the 10th international conference on dea edited by. 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. 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. This distinction is not pertinent for the additive model, which simultaneously maximizes outputs and minimizes inputs in the sense of a vector. 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. Data envelopment analysis dea is a nonparametric method in operations research and economics for the estimation of production frontiers. Oclcs webjunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus. Reliable information about the coronavirus covid19 is available from the world health organization current situation, international travel. 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. 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.