Data Envelopment Analysis With R
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Data Envelopment Analysis With R
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Author : Farhad Hosseinzadeh Lotfi
language : en
Publisher: Springer
Release Date : 2019-07-23
Data Envelopment Analysis With R written by Farhad Hosseinzadeh Lotfi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-23 with Technology & Engineering categories.
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 and fuzzy DEA models and the corresponding R codes, this practice-oriented reference guide is intended for masters and Ph.D. students in various disciplines, as well as practitioners and researchers.
An Introduction To Data Envelopment Analysis
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Author : R Ramanathan
language : en
Publisher: SAGE
Release Date : 2003-08-18
An Introduction To Data Envelopment Analysis written by R Ramanathan and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-18 with Social Science categories.
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.
Benchmarking With Dea Sfa And R
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Author : Peter Bogetoft
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-11-19
Benchmarking With Dea Sfa And R written by Peter Bogetoft and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-19 with Business & Economics categories.
This book covers recent advances in efficiency evaluations, most notably Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods. It introduces the underlying theories, shows how to make the relevant calculations and discusses applications. The aim is to make the reader aware of the pros and cons of the different methods and to show how to use these methods in both standard and non-standard cases. Several software packages have been developed to solve some of the most common DEA and SFA models. This book relies on R, a free, open source software environment for statistical computing and graphics. This enables the reader to solve not only standard problems, but also many other problem variants. Using R, one can focus on understanding the context and developing a good model. One is not restricted to predefined model variants and to a one-size-fits-all approach. To facilitate the use of R, the authors have developed an R package called Benchmarking, which implements the main methods within both DEA and SFA. The book uses mathematical formulations of models and assumptions, but it de-emphasizes the formal proofs - in part by placing them in appendices -- or by referring to the original sources. Moreover, the book emphasizes the usage of the theories and the interpretations of the mathematical formulations. It includes a series of small examples, graphical illustrations, simple extensions and questions to think about. Also, it combines the formal models with less formal economic and organizational thinking. Last but not least it discusses some larger applications with significant practical impacts, including the design of benchmarking-based regulations of energy companies in different European countries, and the development of merger control programs for competition authorities.
Comparative Efficiency In Data Envelopment Analysis Based On Ratio Analysis
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Author : Farhad Hosseinzadeh Lotfi
language : en
Publisher: Springer Nature
Release Date : 2023-11-01
Comparative Efficiency In Data Envelopment Analysis Based On Ratio Analysis written by Farhad Hosseinzadeh Lotfi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-01 with Computers categories.
The combination of DEA and ratio analysis is introduced as a suitable field for evaluating the performance of DMUs. In this regard, DEA-R is also proposed as a hybrid technique for calculating efficiency, ranking DMUs, and finding efficient faces. Therefore, the relationship between DEA and DEA-R provides a suitable field for researchers in the field of evaluating the performance of DMUs. The audience of this book is not limited to researchers in mathematics fields, but experts and students in industrial engineering and management fields also benefit from the topics of this book.
Production And Efficiency Analysis With R
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Author : Andreas Behr
language : en
Publisher: Springer
Release Date : 2016-01-09
Production And Efficiency Analysis With R written by Andreas Behr and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-09 with Business & Economics categories.
This textbook introduces essential topics and techniques in production and efficiency analysis and shows how to apply these methods using the statistical software R. Numerous small simulations lead to a deeper understanding of random processes assumed in the models and of the behavior of estimation techniques. Step-by-step programming provides an understanding of advanced approaches such as stochastic frontier analysis and stochastic data envelopment analysis. The text is intended for master students interested in empirical production and efficiency analysis. Readers are assumed to have a general background in production economics and econometrics, typically taught in introductory microeconomics and econometrics courses.
An Introduction To Data Envelopment Analysis
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Author : Ramu Ramanathan
language : en
Publisher:
Release Date : 2003
An Introduction To Data Envelopment Analysis written by Ramu Ramanathan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Data envelopment analysis categories.
"From the Foreword: " 'This book is an excellent tool for practitioners who are interested in the merits and pitfalls of the technique . (The author's) research is an example of inventiveness, diligence and accuracy' - "Freerk A. Lootsma, Delft Institute of Technology " Data envelopment Analysis is a Mathematical Programme for measuring performance efficiency of organizational units. The organizational units, termed as decision-making units (DMU) can be of any kind: manufacturing units, a set of schools, banks, hospitals, power plants, police stations, prisons, a set of firms etc. DEA has been unsuccessfully applied to measure the performance efficiency of these different kinds of DMUs which share a common characteristic - that they are non-profit organization where measurement of performance efficiency is difficult. DEA has been employed for assessing the relative performance of a set of firms that use a variety of identical inputs-say in the case of a school: quality of students, teachers, grants etc., -to produce a variety of identical outputs-number of students who pass the final year, average grades obtained by the students in the final year etc. DEA assumes the performance of the DMUs by using the concepts of efficiency or productivity which is measured as the ratio of total outputs to total inputs. Also, the efficiencies estimated are relative to the best performing DMU or DMUs. The best performing DMU is given a score of 100% and the performance of other DMUs vary between 0 -100%."
Productivity And Efficiency Measurement Of Airlines
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Author : Boon L. Lee
language : en
Publisher: Elsevier
Release Date : 2023-02-24
Productivity And Efficiency Measurement Of Airlines written by Boon L. Lee and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-24 with Technology & Engineering categories.
In today’s competitive environment, airlines are doing everything they can to improve efficiency and productivity. Productivity and Efficiency Measurement of Airlines: Data Envelopment Analysis using R identifies and explains sources of airline efficiency and helps achieve these goals through the use of state-of-the-art measurement techniques. Each chapter measures airline performance through the data envelopment analysis (DEA) model and other DEA variants. This book thoroughly discusses topics such as cost and revenue efficiency performance, carbon emissions performance management, and complex airline data analysis, employing appropriate models for each. Model methodologies are also discussed. The in-depth coverage is useful for all audiences, including students with a basic understanding of models, researchers and airline operators and management. Productivity and Efficiency Measurement of Airlines: Data Envelopment Analysis using R provides R codes to help readers generate results and quantify efficient practices. These results provide airline decision-makers with the essential information they need to create better policies and avoid underperforming practices. Thoroughly summarizes key DEA measurement models for productivity and efficiency ofairlines Guides users in generating airline performance results using DEA model and its variants Features R codes useful for generating empirical results, and best practices, promoting qualitypolicy and management decisions
Modeling Data Irregularities And Structural Complexities In Data Envelopment Analysis
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Author : Joe Zhu
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-06-08
Modeling Data Irregularities And Structural Complexities In Data Envelopment Analysis written by Joe Zhu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-08 with Business & Economics categories.
In a relatively short period of time, data envelopment analysis (DEA) has grown into a powerful analytical tool for measuring and evaluating performance. DEA is computational at its core and this book is one of several Springer aim to publish on the subject. This work deals with the micro aspects of handling and modeling data issues in DEA problems. It is a handbook treatment dealing with specific data problems, including imprecise data and undesirable outputs.
Productivity And Efficiency Measurement Of Airlines
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Author : Boon L. Lee
language : en
Publisher: Elsevier
Release Date : 2023-03-10
Productivity And Efficiency Measurement Of Airlines written by Boon L. Lee and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-10 with Social Science categories.
In today's competitive environment, airlines are doing everything they can to increase efficiencies while improving productivity. Productivity and Efficiency Analysis of Airlines: A Data Envelopment Analysis Approach helps achieve these goals through identifying and explaining the best strategies for measuring airline performance. Each chapter measures airline performance through the model of data envelopment analysis (DEA), as well as other models, such as stochastic frontier analysis (SFA), where applicable. The book thoroughly discusses topics such as financial performance, greenhouse gas management, and complex airline data analysis, employing appropriate models for each. Model methodologies are also discussed. The in-depth coverage is useful for all audiences, including students with a basic understanding of models, researchers, and airline operators and management. Productivity and Efficiency Analysis of Airlines: A Data Envelopment Analysis Approach provides codes for various data software, helping readers generate results and quantify efficient practices. These results provide airline decision makers with the essential information they need to create better policies and avoid underperforming practices. Comprehensive overview of the key strategies for measuring productivity and efficiency of airlines Guides users in generating airline performance results, with a focus on the data envelopment analysis (DEA) model Features software codes useful for generating empirical results, and best practices, promoting quality policy and management decisions
Data Envelopment Analysis
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Author : Wade D. Cook
language : en
Publisher: Springer
Release Date : 2014-07-08
Data Envelopment Analysis written by Wade D. Cook and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-08 with Business & Economics categories.
This handbook serves as a complement to the Handbook on Data Envelopment Analysis (eds, W.W. Cooper, L.M. Seiford and J, Zhu, 2011, 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 network DEA. Chapter 1 provides a survey on two-stage network performance decomposition and modeling techniques. Chapter 2 discusses the pitfalls in network DEA modeling. Chapter 3 discusses efficiency decompositions in network DEA under three types of structures, namely series, parallel and dynamic. Chapter 4 studies the determination of the network DEA frontier. In chapter 5 additive efficiency decomposition in network DEA is discussed. An approach in scale efficiency measurement in two-stage networks is presented in chapter 6. Chapter 7 further discusses the scale efficiency decomposition in two stage networks. Chapter 8 offers a bargaining game approach to modeling two-stage networks. Chapter 9 studies shared resources and efficiency decomposition in two-stage networks. Chapter 10 introduces an approach to computing the technical efficiency scores for a dynamic production network and its sub-processes. Chapter 11 presents a slacks-based network DEA. Chapter 12 discusses a DEA modeling technique for a two-stage network process where the inputs of the second stage include both the outputs from the first stage and additional inputs to the second stage. Chapter 13 presents an efficiency measurement methodology for multi-stage production systems. Chapter 14 discusses network DEA models, both static and dynamic. The discussion also explores various useful objective functions that can be applied to the models to find the optimal allocation of resources for processes within the black box, that are normally invisible to DEA. Chapter 15 provides a comprehensive review of various type network DEA modeling techniques. Chapter 16 presents shared resources models for deriving aggregate measures of bank-branch performance, with accompanying component measures that make up that aggregate value. Chapter 17 examines a set of manufacturing plants operating under a single umbrella, with the objective being to use the component or function measures to decide what might be considered as each plant’s core business. Chapter 18 considers problem settings where there may be clusters or groups of DMUs that form a hierarchy. The specific case of a set off electric power plants is examined in this context. Chapter 19 models bad outputs in two-stage network DEA. Chapter 20 presents an application of network DEA to performance measurement of Major League Baseball (MLB) teams. Chapter 21 presents an application of a two-stage network DEA model for examining the performance of 30 U.S. airline companies. Chapter 22 then presents two distinct network efficiency models that are applied to engineering systems.