Introduction to the Theory and Application of Data Envelopment Analysis

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  • Author : Emmanuel Thanassoulis
  • Publisher : Springer Science & Business Media
  • Pages : 281 pages
  • ISBN : 146151407X
  • Rating : /5 from reviews
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Download or Read online Introduction to the Theory and Application of Data Envelopment Analysis full in PDF, ePub and kindle. this book written by Emmanuel Thanassoulis and published by Springer Science & Business Media which was released on 29 June 2013 with total page 281 pages. We cannot guarantee that Introduction to the Theory and Application of Data Envelopment Analysis book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 1 DATA ENVELOPMENT ANALYSIS Data Envelopment Analysis (DEA) was initially developed as a method for assessing the comparative efficiencies of organisational units such as the branches of a bank, schools, hospital departments or restaurants. The key in each case is that they perform feature which makes the units comparable the same function in terms of the kinds of resource they use and the types of output they produce. For example all bank branches to be compared would typically use staff and capital assets to effect income generating activities such as advancing loans, selling financial products and carrying out banking transactions on behalf of their clients. The efficiencies assessed in this context by DEA are intended to reflect the scope for resource conservation at the unit being assessed without detriment to its outputs, or alternatively, the scope for output augmentation without additional resources. The efficiencies assessed are comparative or relative because they reflect scope for resource conservation or output augmentation at one unit relative to other comparable benchmark units rather than in some absolute sense. We resort to relative rather than absolute efficiencies because in most practical contexts we lack sufficient information to derive the superior measures of absolute efficiency. DEA was initiated by Charnes Cooper and Rhodes in 1978 in their seminal paper Chames et al. (1978). The paper operationalised and extended by means of linear programming production economics concepts of empirical efficiency put forth some twenty years earlier by Farrell (1957).

Introduction to the Theory and Application of Data Envelopment Analysis

Introduction to the Theory and Application of Data Envelopment Analysis
  • Author : Emmanuel Thanassoulis
  • Publisher : Springer Science & Business Media
  • Release : 29 June 2013
GET THIS BOOK Introduction to the Theory and Application of Data Envelopment Analysis

1 DATA ENVELOPMENT ANALYSIS Data Envelopment Analysis (DEA) was initially developed as a method for assessing the comparative efficiencies of organisational units such as the branches of a bank, schools, hospital departments or restaurants. The key in each case is that they perform feature which makes the units comparable the same function in terms of the kinds of resource they use and the types of output they produce. For example all bank branches to be compared would typically use staff and

Data Envelopment Analysis Theory Methodology and Applications

Data Envelopment Analysis  Theory  Methodology  and Applications
  • Author : Abraham Charnes,William W. Cooper,Arie Y. Lewin,Lawrence M. Seiford
  • Publisher : Springer Science & Business Media
  • Release : 31 July 1995
GET THIS BOOK Data Envelopment Analysis Theory Methodology and Applications

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 actual process of conducting DEA analyses including combining DEA and 1 parametric techniques. The book has three other distinctive

Data Envelopment Analysis

Data Envelopment Analysis
  • Author : William W. Cooper,Lawrence M. Seiford,Kaoru Tone
  • Publisher : Springer Science & Business Media
  • Release : 10 January 2007
GET THIS BOOK Data Envelopment Analysis

This volume systematically details both the basic principles and new developments in Data Envelopment Analysis (DEA), offering a solid understanding of the methodology, its uses, and its potential. New material in this edition includes coverage of recent developments that have greatly extended the power and scope of DEA and have lead to new directions for research and DEA uses. Each chapter accompanies its developments with simple numerical examples and discussions of actual applications. The first nine chapters cover the basic

Introduction to Data Envelopment Analysis and Its Uses

Introduction to Data Envelopment Analysis and Its Uses
  • Author : William W. Cooper,Lawrence M. Seiford,Kaoru Tone
  • Publisher : Springer Science & Business Media
  • Release : 20 March 2006
GET THIS BOOK Introduction to Data Envelopment Analysis and Its Uses

Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References has been carefully designed by the authors to provide a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts. The authors have been involved in DEA's development from the beginning. William Cooper (with Abraham Charnes and Edwardo Rhodes) is a founder of DEA. Lawrence Seiford and Kaoru Tone have been actively involved as researchers and practitioners from

An Introduction to Data Envelopment Analysis

An Introduction to Data Envelopment Analysis
  • Author : R Ramanathan
  • Publisher : SAGE
  • Release : 18 August 2003
GET THIS BOOK An Introduction to Data Envelopment Analysis

Data Envelopment Analysis (DEA) is a mathematical programming technique with a number of practical applications for measuring the performance of similar units such as a set of hospitals, a set of schools, or a set of banks. This book is designed as an introductory text, both for students and professionals. It includes a number of case studies as well as exercises and solved problems.

Global Cases on Hospitality Industry

Global Cases on Hospitality Industry
  • Author : Vinnie Jauhari
  • Publisher : Routledge
  • Release : 10 April 2021
GET THIS BOOK Global Cases on Hospitality Industry

This detailed look at the hospitality industry's dynamics uses an international perspective that provides reader understanding by spanning several strategic and functional areas in management practices. The contributors offer research-based perspectives on real-life issues in this competitive industry.

Data Envelopment Analysis

Data Envelopment Analysis
  • Author : Subhash C. Ray
  • Publisher : Cambridge University Press
  • Release : 07 June 2004
GET THIS BOOK Data Envelopment Analysis

Using the neo-classical theory of production economics as the analytical framework, this book, first published in 2004, provides a unified and easily comprehensible, yet fairly rigorous, exposition of the core literature on data envelopment analysis (DEA) for readers based in different disciplines. The various DEA models are developed as nonparametric alternatives to the econometric models. Apart from the standard fare consisting of the basic input- and output-oriented DEA models formulated by Charnes, Cooper, and Rhodes, and Banker, Charnes, and Cooper, the

Data Envelopment Analysis

Data Envelopment Analysis
  • Author : Joe Zhu
  • Publisher : Springer
  • Release : 22 March 2016
GET THIS BOOK Data Envelopment Analysis

This handbook compiles state-of-the-art empirical studies and applications using Data Envelopment Analysis (DEA). It includes a collection of 18 chapters written by DEA experts. Chapter 1 examines the performance of CEOs of U.S. banks and thrifts. Chapter 2 describes the network operational structure of transportation organizations and the relative network data envelopment analysis model. Chapter 3 demonstrates how to use different types of DEA models to compute total-factor energy efficiency scores with an application to energy efficiency. In chapter 4, the authors explore the

Uncertain Data Envelopment Analysis

Uncertain Data Envelopment Analysis
  • Author : Meilin Wen
  • Publisher : Springer
  • Release : 24 July 2014
GET THIS BOOK Uncertain Data Envelopment Analysis

This book is intended to present the milestones in the progression of uncertain Data envelopment analysis (DEA). Chapter 1 gives some basic introduction to uncertain theories, including probability theory, credibility theory, uncertainty theory and chance theory. Chapter 2 presents a comprehensive review and discussion of basic DEA models. The stochastic DEA is introduced in Chapter 3, in which the inputs and outputs are assumed to be random variables. To obtain the probability distribution of a random variable, a lot of samples are needed

Advances in Data Envelopment Analysis

Advances in Data Envelopment Analysis
  • Author : Rolf Färe,Shawna Grosskopf,Dimitris Margaritis
  • Publisher : World Scientific
  • Release : 26 March 2015
GET THIS BOOK Advances in Data Envelopment Analysis

Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technical change, or finding which types of DEA models allow data transformations, including dealing with ordinal data. Advances in Data Envelopment Analysis focuses on both theoretical developments and their applications into the measurement of productive efficiency and productivity growth, such as its application to the modelling of time substitution, i.e.