5 edition of Dynamics of data envelopment analysis found in the catalog.
Includes bibliographical references and index.
|Statement||by Jati K. Sengupta.|
|LC Classifications||HA31.38 .S46 1995|
|The Physical Object|
|Pagination||xii, 286 p. ;|
|Number of Pages||286|
|LC Control Number||95020163|
This book extends the dynamic and stochastic analysis of economic efficiency by using the recent techniques of data envelopment analysis. New results and applications of these techniques in numerous areas of economics, finance and management are provided, including treatment of . [Page (continued)] A Data Envelopment Analysis Example. Data envelopment analysis (DEA) is a linear programming application that compares a number of service units of the same typesuch as banks, hospitals, restaurants, and schoolsbased on their inputs (resources) and outputs.
A review of Dynamic Data Envelopment Analysis: state of the art and applications Fernanda B.A.R. Mariza, Mariana R. Almeidab and Daniel Aloisec aFederal Institute of Education Science and Technology of Rio Grande do Norte, Logistics, Sao Gonc˜ ¸alos, Rio Grande do Norte, BrazilCited by: Part I introduces the concepts of relative efficiency and data envelopment analysis. Part II illustrates technical efficiency analysis in a gradually increasing complexity. Readers looking for a quick start to DEA should go directly to Chapter 2. Part III addresses measurement of cost, revenue and profit efficiencies in a variety of settings.
Data envelopment analysis has been applied in a number of papers to measure the performance of mutual funds, besides a great many applications on the more diverse fields of performance evaluation. The data envelopment analysis models proposed in the mutual funds literature do not generally set restrictions on the weights assigned to the input and output by: 2. DATA ENVELOPMENT ANALYSIS A Comprehensive Text with Models, Applications, References and DEA-Solver Software WILLIAM W. COOPER University of Texas at Austin, U.S.A. LAWRENCE M. SEIFORD University of Massachusetts at Amherst and National Science Foundation, U.S.A. KAORU TONE National Graduate Institute for Policy Studies, Japan Kluwer Academic.
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Efficiency is viewed here in the framework of a general systems theory model. Such a view is intended to broaden the scope of applications of this promising new technique of data envelopment analysis.
The monograph stresses the various applied aspects of the dynamic theory, so that it can be empirically implemented in different by: Data envelopment analysis develops a set of nonparametric and semiparametric techniques for measuring economic efficiency among firms and nonprofit organizations.
Over the past decade this technique has found most widespread applications in public sector organizations. However these applications have been mostly static.
A review of Dynamic Data Envelopment Analysis: state of the art and applications Article (PDF Available) in International Transactions in Operational Research 25(1) November with Reads. This book describes the method of data envelopment analysis that uses mathematical programming techniques to obtain measures of efficiency of individual forms from their observed input and output quantities.
The method permits setting up realistic input-output targets for the firm's by: Get this from a library. Dynamics of data envelopment analysis: theory of systems efficiency.
[Jatikumar Sengupta] -- The volume extends the recent techniques of data envelopment analysis in dynamic and stochastic fields. Its outstanding features are: (1) a comprehensive. This handbook covers DEA topics that are extensively used and solidly based.
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 handbook serves as a complement to the Handbook on Data Envelopment Analysis (eds, W.W. Cooper, L.M. Seiford and J, Zhu,Springer) in an effort to extend the frontier of DEA research.
It provides a comprehensive source for the state-of-the art DEA modeling on internal structures and. Dynamics of data envelopment analysis: theory of systems efficiency By Jatikumar Sengupta CALL FOR PAPERS: Data Envelopment Analysis (DEA) at IFORS, 21st – 26th, JuneSeoul, Korea.
Big Data for Greater Good. This book represents a milestone in the progression of Data Envelop ment Analysis (DEA). It is the first reference text which includes a comprehensive review and comparative discussion of the basic DEA models. The development is anchored in a unified mathematical and graphical treatment and includes the most important modeling ex tensions.
In addition, this is the first book that addresses the Reviews: 1. 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 (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. The volume extends the recent techniques of data envelopment analysis in dynamic and shastic fields.
Its outstanding features are: (1) a comprehensive and up-to-date treatment of productive efficiency analysis in the dynamic environment; (2) new insight into the shastic aspects of efficiency analysis including modern control theory; and, (3) new applications in systems theory including Price: $ Dynamics of Data Envelopment Analysis by Jati K.
Sengupta,available at Book Depository with free delivery worldwide.4/5(1). Dynamics of Data Envelopment Analysis by Jati Sengupta; 1 edition; First published in This handbook covers DEA topics that are extensively used and solidly based. 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.
It defines the state-of-the-art of DEA methodology and its uses. ThisBrand: Springer US. The use of Data Envelopment Analysis to calculate priority scores in needs assessments 8 July 2 passes, and the crisis impacts and dynamics are better understood, the case for classic indices grows, and the comparative benefits of DEA may fade.
In either method, analysts. In book: Handbook of Research on Strategic Performance Management and Measurement Using Data Envelopment Analysis, Chapter: 4, Publisher: IGI Global, USA, Editors: Ibrahim H Osman, Abdel Latef.
Data envelopment analysis 2 The basics of DEA DEA is a method for measuring eﬃciency of DMUs using linear programming techniques to envelop observed input–output vectors as tightly as possible (Boussoﬁane, Dyson, and Thanassoulis ). DEA allows multiple inputs–outputs to be considered at the same time without any assumption on data distribution.
Using the neo-classical theory of production economics as the analytical framework, this book, first published inprovides a unified and easily comprehensible, yet fairly rigorous, exposition of the core literature on data envelopment analysis (DEA) for readers based in different : Subhash C.
Ray. Title: Data Envelopment Analysis: Theory and Applications Subtitle (series): Proceedings of the 10th International Conference on DEA Venue: DEA, AugustNatal, Brazil Edited by: Rajiv Banker, Ali Emrouznejad, Ana Lúcia Miranda Lopes, Mariana Rodrigues de Almeida.
Date: December Downloadable (with restrictions). This paper proposes a dynamic data envelopment analysis (DEA) model to measure the system and period efficiencies at the same time for multi-period systems, where quasi-fixed inputs or intermediate products are the source of inter-temporal dependence between consecutive periods.
A mathematical relationship is derived in which the complement of the system. Data Envelopment Analysis and Economics Data Envelopment Analysis (DEA) is a nonparametric method of measuring the efﬁciency of a decision-making unit (DMU) such as a ﬁrm or a public-sector agency, ﬁrst introduced into the Operations Research (OR) literature by Charnes, Cooper, and Rhodes (CCR) (European Journal of OperationalFile Size: KB.This article reports the evolution of the literature on Dynamic Data Envelopment Analysis (DDEA) models from to Systematic searches in the databases Scopus and Web of Science were performed to outline the state of the by: Data envelopment analysis (DEA) is suggested to aid traditional benchmarking activities and to provide guidance to managers.
DEA is useful in identifying the best performing units to be benchmarked against as well as in providing actionable measures for improvement of a company's marketing by: