Download or read book Relative Efficiency Assessments Using Data Envelopment Analysis written by Emmanuel Thanassoulis and published by . This book was released on 1985 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Measuring Efficiency written by Richard H. Silkman and published by . This book was released on 1986 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book An Introduction to Data Envelopment Analysis written by R Ramanathan and published by SAGE. This book was released on 2003-08-18 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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%.

Download or read book Handbook on Data Envelopment Analysis written by William W. Cooper and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Envelopment Analysis (DEA) is a relatively new “data-oriented” approach for evaluating the performances of a set of entities called Decision- Making Units (DMUs) which convert multiple inputs into multiple outputs. DEA has been used in evaluating the performances of many different kinds of entities engaged in many different kinds of activities in many different contexts. It has opened up possibilities for use in cases which have been resistant to other approaches because of the complex and often unknown nature of the relations between the multiple inputs and outputs involved in many of these activities, which are often reported in non-commeasurable units. DEA has also been used to supply new insights into activities and entities that have previously been evaluated by othermethods. This handbook is intended to represent a milestone in the progression of DEA. Written by experts, who are often major contributors to the topics to be covered, it includes a comprehensive review and discussion of basic DEA models, extensions to the basic DEA methods, and a collection of DEA applications in the areas of banking, education, sports, retail, health care, and a review of current DEA software technology. This handbook’s chapters are organized into three categories: (i) basic DEA models, concepts, and their extensions; (ii) DEA applications; and (iii) xii Preface DEA software packages. The first category consists of eleven chapters.

Download or read book Introduction to the Theory and Application of Data Envelopment Analysis written by Emmanuel Thanassoulis and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).

Download or read book Data Envelopment Analysis written by Joe Zhu and published by Springer. This book was released on 2016-03-22 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 impact of incorporating customers' willingness to pay for service quality in benchmarking models on cost efficiency of distribution networks, and chapter 5 provides a brief review of previous applications of DEA to the professional baseball industry, followed by two detailed applications to Major League Baseball. Chapter 6 examines efficiency and productivity of U.S. property-liability (P-L) insurers using DEA, while chapter 7 presents a two-stage network DEA model that decomposes the overall efficiency of a decision-making unit into two components. Chapter 8 presents a review of the literature of DEA models for the perfoemance assessment of mutual funds, and chapter 9 discusses the management strategies formulation of the international tourist hotel industry in Taiwan. Chapter 10 presents a novel use of the two-stage network DEA to evaluate sustainable product design performances. In chapter 11 authors highlight limitations of some DEA environmental efficiency models, and chapter 12 reviews applications of DEA in secondary and tertiary education. Chapter 13 measures the relative performance of New York State school districts in the 2011-2012 academic year. Chapter 14 provides an introductory prelude to chapters 15 and 16, which both provide detailed applications of DEA in marketing. Chapter 17 then shows how to decompose a new total factor productivity index that satisfies all economically-relevant axioms from index theory with an application to U.S. agriculture. Finally, chapter 18 presents a unique study that conducts a DEA research front analysis, applying a network clustering method to group the DEA literature over the period 2000 to 2014.

Download or read book The Measurement of Efficiency of Production written by Rolf Färe and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Relative Efficiency Measurement in the Public Sector with Data Envelopment Analysis written by Joseph A. Ganley and published by . This book was released on 1989 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Network Data Envelopment Analysis written by Chiang Kao and published by Springer. This book was released on 2016-08-23 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the underlying theory, model development, and applications of network Data Envelopment Analysis (DEA) in a systematic way. The field of network DEA extends and complements conventional DEA by considering not only inputs and outputs when measuring system efficiency, but also the internal structure of the system being analyzed. By analyzing the efficiency of individual internal components, and more particularly by studying the effects of relationships among components which are modeled and implemented by means of various network structures, the “network DEA” approach is able to help identify and manage the specific components that contribute inefficiencies into the overall systems. This relatively new approach comprises an important analytical tool based on mathematical programming techniques, with valuable implications to production and operations management. The existing models for measuring the efficiency of systems of specific network structures are also discussed, and the relationships between the system and component efficiencies are explored. This book should be able to inspire new research and new applications based on the current state of the art. Performance evaluation is an important task in management, and is needed to (i) better understand the past accomplishments of an organization and (ii) plan for its future development. However, this task becomes rather challenging when multiple performance metrics are involved. DEA is a powerful tool to cope with such issues. For systems or operations composed of interrelated processes, managers need to know how the performances of the various processes evaluated and how they are aggregated to form the overall performance of the system. This book provides an advanced exposition on performance evaluation of systems with network structures. It explores the network nature of most production and operation systems, and explains why network analyses are necessary.

Download or read book An Introduction to Data Envelopment Analysis written by Ramu Ramanathan and published by . This book was released on 2003 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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%."

Download or read book Data Envelopment Analysis and Effective Performance Assessment written by Lotfi, Farhad Hossein Zadeh and published by IGI Global. This book was released on 2016-09-01 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: For any organization, analysis of performance and effectiveness through available data allows for informed decision making. Data envelopment analysis, or DEA, is a popular, effective method that can be used to measure productive efficiency in operations management assessment. Data Envelopment Analysis and Effective Performance Assessment addresses the myriad of practical uses and innovative developments of DEA. Emphasizing the importance of analyzing productivity by measuring inputs, goals, economic growth, and performance, this book covers a wide breadth of innovative knowledge. This book is essential reading for managers, business professionals, students of business and ICT, and computer engineers.

Download or read book Environmental and Energy Efficiency Evaluation Based on Data Envelopment Analysis DEA written by Ramon Sala-Garrido and published by MDPI. This book was released on 2021-05-06 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Efficiency and productivity assessment are essential to ensure the long-term financial sustainability of countries, services and processes. In the last few years, there has been an increasing interest in the environmental effects of economic activities, and the need to assess the environmental and energy efficiency has been internationally recognized. Energy and environmental efficiency assessments of decision-making units (DMUs), such as countries, utilities, processes and services are relevant and have strong implications for companies, regulators, stakeholders, policy makers, and customers. To improve both the decision-making process and the management of DMUs, fundamental and practical knowledge about energy and environmental efficiency and productivity is essential

Download or read book Benchmarking with DEA SFA and R written by Peter Bogetoft and published by Springer Science & Business Media. This book was released on 2010-11-19 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Comparative Performance Measurement written by Elaine Morley and published by The Urban Insitute. This book was released on 2001 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Topics covered include scope of CPM, preparing for data collection, reporting and using CPM information.

Download or read book Towards a Sustainable Future Life Cycle Management written by Zbigniew Stanislaw Klos and published by Springer. This book was released on 2021-10-26 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book includes a selection of contributions from the Life Cycle Management 2019 Conference (LCM) held in Poznań, Poland, and presents different examples of scientific and practical contributions, showing an incorporation of life cycle approach into the decision processes on strategic and operational level. Special attention is drawn to applications of LCM to target, organize, analyze and manage product-related information and activities towards continuous improvement, along the different products life cycle. The selection of case studies presents LCM as a business management approach that can be used by all types of businesses and organizations in order to improve their sustainability performance. This book provides a cross-sectoral, current picture of LCM issues. The structure of the book is based on five-theme lines. The themes represent different objects that are focused on sustainability and LCM practices mainly related to: products, technologies, organizations, markets and policy issues as well as methodological solutions. The book brings together presentations from the world of science and the world of enterprises as well as institutions supporting economic development.

Download or read book Using Data Envelopment Analysis to Transform Data Into Information written by Brady Jo Janes and published by . This book was released on 2016 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Institutions of higher education amass incredible amounts of data. Analyzing the data in a way that can improve decision making is an integral part of complex operational and management processes, including resource allocation, programmatic development, and planning. Traditionally, higher education have lagged in its use of the data in operational and management processes (Desouza & Smith, 2016; Siemens & Long, 2011). This study examined the use of the analytical method, data envelopment analysis (DEA), to determine the efficiency of academic departments over the period 2008 to 2014. Data envelopment analysis was a method developed by Charnes, Cooper, and Rhodes (1981) and designed to measure the relative efficiency based on inputs and outputs of decision making units (DMUs). The purpose of this study was to explore the efficiency of academic departments in a public, Carnegie classified tier one, high research, comprehensive doctoral university with balanced arts and sciences undergraduate instruction. The inputs considered for this study were total research expenditures, state appropriated budgets, and operational budgets. The outputs considered were graduate and undergraduate degrees granted, full time equivalents (FTE) produced, student credit hours generated, scholarly works, and amount of grants awarded. An output-oriented, multi-stage DEA model was used to determine the efficiency scores of 16 academic departments or DMUs. Both constant returns to scale (CRS) and variable returns to scale (VRS) methods were used in DEA calculations. The efficiency results, descriptive data, departmental slacks results, and peer department comparisons were considered in determining the factors contributing to the efficiency and inefficiency of each DMU. Malmquist indices were used to measure the shifts in efficiency over time. Seven of the 16 academic departments were identified as efficient throughout the time period, 2008 to 2014. The remaining nine academic departments were identified as inefficient in at least one year throughout the period. The factors contributing to efficiency were undergraduate degree completers and operating budgets. Other factors that contributed to inefficiency of departments were scholarly publications, graduate degree completers, and instructional outputs. The examination of efficiency scores over time and the respective results generated, such as input and output targets and productivity indices, provide a means for assessing departmental efficiency and determining areas for improvement. Results may be one aspect of institutional decision making and planning about academic direction and resource allocation to ensure ongoing academic excellence.

Download or read book A Comparative Study of Data Envelopment Analysis and Other Approaches to Efficiency written by Abraham Charnes and published by . This book was released on 1982 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Envelopment Analysis (DEA), a new methodology based on mathematical programming models, provides an approach to evaluation of the relative efficiency of organizations, especially not-for-profit organizations which have multiple outputs and inputs. This paper uses an artificial data base to evaluate DEA relative to other alternatives such as ratio and regression analyses. The results of this study generally favor DEA not only for identifying inefficiencies but also for locating their sources and estmating their amounts in particular DMUs (Decision Making Units). Statistical regressions performed very poorly, per se, as well as by comparison. Reasons for the poor performance of these customary statistical regression approaches are indicated along with possible ways of improving this performance.