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 : 01 December 2013

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

• Author : William W. Cooper,Lawrence M. Seiford,Kaoru Tone
• Publisher : Springer Science & Business Media
• Release : 10 January 2007

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

• Author : William W. Cooper,Lawrence M. Seiford,Joe Zhu
• Publisher : Springer Science & Business Media
• Release : 23 August 2011

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. This handbook is intended to represent a milestone in the progression of DEA. Written by experts, who are generally major contributors to the topics to be covered, it includes a comprehensive review and discussion

• Author : Jibendu Kumar Mantri
• Publisher : Universal-Publishers
• Release : 16 April 2021

Data Envelopment Analysis (DEA) represents a milestone in the progression of a continuously advancing methodology for data analysis, which finds extensive use in industry, society and even in education. This book is a handy encyclopedia for researchers, students and practitioners looking for the latest and most comprehensive references in DEA. J.K. Mantri has specifically selected 22 research papers where DEA is applied in different fields so that the techniques discussed in this book can be used for various applications. In

• Author : Farhad Hosseinzadeh Lotfi,Ali Ebrahimnejad,Mohsen Vaez-Ghasemi,Zohreh Moghaddas
• Publisher : Springer
• Release : 23 July 2019

This book introduces readers to the use of R codes for optimization problems. First, it provides the necessary background to understand data envelopment analysis (DEA), with a special emphasis on fuzzy DEA. It then describes DEA models, including fuzzy DEA models, and shows how to use them to solve optimization problems with R. Further, it discusses the main advantages of R in optimization problems, and provides R codes based on real-world data sets throughout. Offering a comprehensive review of DEA

• Author : Emmanuel Thanassoulis
• Publisher : Springer Science & Business Media
• Release : 31 July 2001

The book aims to introduce the reader to DEA in the most accessible manner possible. It is specifically aimed at those who have had no prior exposure to DEA and wish to learn its essentials, how it works, its key uses, and the mechanics of using it. The latter will include using DEA software. Students on degree or training courses will find the book especially helpful. The same is true of practitioners engaging in comparative efficiency assessments and performance management

• Author : S. A. Edalatpanah,F. Smarandache
• Publisher : Infinite Study
• Release : 16 April 2021

In recent years, there has been a growing interest in neutrosophic theory, and there are several methods for solving various problems under neutrosophic environment. However, a few papers have discussed the Data envelopment analysis (DEA) with neutrosophic sets. So, in this paper, we propose an input-oriented DEA model with simplified neutrosophic numbers and present a new strategy to solve it. The proposed method is based on the weighted arithmetic average operator and has a simple structure. Finally, the new approach

• Author : Wade D. Cook,Joe Zhu
• Publisher : Unknown
• Release : 16 April 2021

The current book introduces the methodology of data envelopment analysis (DEA). DEA uses mathematical programming techniques and models to evaluate the performance of peer units (e.g., bank branches, hospitals and schools) in terms of multiple inputs used and multiple outputs produced. DEA examines the resources available to each unit and monitors the "conversion" of these resources (inputs) into the desired outputs. The book gives an overview of the various models from the literature, and the geometric interpretations provided permit

• Author : Vincent Charles,Mukesh Kumar
• Publisher : Cambridge Scholars Publishing
• Release : 14 February 2013

Data envelopment analysis (DEA), a non-parametric technique, has emerged as a popular management tool for measuring the performance of a set of entities, known as decision making units. This book, Data Envelopment Analysis and Its Applications to Management, is a collection of contributions from DEA experts from various countries. It covers a wide range of research papers from the theoretical development of DEA to its applications in various sectors such as economy, banking, education, revenue management, sports, branch networks, cities,

• Author : Jatikumar Sengupta
• Publisher : World Scientific
• Release : 16 April 2021

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 private sector industries, portfolio models in finance, quality control techniques in managerial performance, the role of market competition, policy applications in investment models in finance, risk aversion and efficiency, and technology and innovation.The most up-to-date tools of efficiency analysis

• Author : Jati Sengupta
• Publisher : Springer Science & Business Media
• Release : 11 November 2013

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. This monograph extends this static framework of efficiency analysis in several new directions. These include but are not limited to the following: (1) a dynamic view of the production and cost frontier, where capital inputs are treated differently from

• Author : William Wager Cooper,Lawrence M. Seiford,Kaoru Tone
• Publisher : Springer Science & Business Media
• Release : 16 April 2021

CD-ROM contains: DEA-Solver and sample problems -- Comprehensive bibliography.

• Author : Rolf Färe,Shawna Grosskopf,Dimitris Margaritis
• Publisher : World Scientific
• Release : 26 March 2015

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.

• Author : Alireza Alinezhad
• Publisher : Unknown
• Release : 25 March 2021

This book presents and compares 11 software packages of Data Envelopment Analysis (DEA). Performance measurement is done by various methods, one of which is DEA. Due to the ability of DEA models to meet practical requirements, extensive research can be conducted in the fields of mathematics, management, economics, and engineering. Therefore, during recent decades, the use of this method has been considered with significant growth among researchers. DEA evaluates the performance of Decision Making Units (DMUs) by using linear programming. Since

• Author : Joe Zhu
• Publisher : Springer
• Release : 22 March 2016

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