Handbook Of Operations Analytics Using Data Envelopment Analysis

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Handbook of Operations Analytics Using Data Envelopment Analysis

Author : Shiuh-Nan Hwang,Hsuan-Shih Lee,Joe Zhu
Publisher : Springer
Page : 506 pages
File Size : 54,8 Mb
Release : 2016-07-01
Category : Business & Economics
ISBN : 9781489977052

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Handbook of Operations Analytics Using Data Envelopment Analysis by Shiuh-Nan Hwang,Hsuan-Shih Lee,Joe Zhu Pdf

This handbook focuses on Data Envelopment Analysis (DEA) applications in operations analytics which are fundamental tools and techniques for improving operation functions and attaining long-term competitiveness. In fact, the handbook demonstrates that DEA can be viewed as Data Envelopment Analytics. Chapters include a review of cross-efficiency evaluation; a case study on measuring the environmental performance of OECS countries; how to select a set of performance metrics in DEA with an application to American banks; a relational network model to take the operations of individual periods into account in measuring efficiencies; how the efficient frontier methods DEA and stochastic frontier analysis (SFA) can be used synergistically; and how to integrate DEA and multidimensional scaling. In other chapters, authors construct a dynamic three-stage network DEA model; a bootstrapping based methodology to evaluate returns to scale and convexity assumptions in DEA; hybridizing DEA and cooperative games; using DEA to represent the production technology and directional distance functions to measure band performance; an input-specific Luenberger energy and environmental productivity indicator; and the issue of reference set by differentiating between the uniquely found reference set and the unary and maximal types of the reference set. Finally, additional chapters evaluate and compare the technological advancement observed in different hybrid electric vehicles (HEV) market segments over the past 15 years; radial measurement of efficiency for the production process possessing multi-components under different production technologies; issues around the use of accounting information in DEA; how to use DEA environmental assessment to establish corporate sustainability; a summary of research efforts on DEA environmental assessment applied to energy in the last 30 years; and an overview of DEA and how it can be utilized alone and with other techniques to investigate corporate environmental sustainability questions.

Data Envelopment Analysis with R

Author : Farhad Hosseinzadeh Lotfi,Ali Ebrahimnejad,Mohsen Vaez-Ghasemi,Zohreh Moghaddas
Publisher : Springer
Page : 236 pages
File Size : 42,8 Mb
Release : 2019-07-23
Category : Technology & Engineering
ISBN : 9783030242770

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Data Envelopment Analysis with R by Farhad Hosseinzadeh Lotfi,Ali Ebrahimnejad,Mohsen Vaez-Ghasemi,Zohreh Moghaddas Pdf

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.

Handbook of Operations Research and Management Science in Higher Education

Author : Zilla Sinuany-Stern
Publisher : Springer Nature
Page : 529 pages
File Size : 41,7 Mb
Release : 2021-09-09
Category : Business & Economics
ISBN : 9783030740511

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Handbook of Operations Research and Management Science in Higher Education by Zilla Sinuany-Stern Pdf

This handbook covers various areas of Higher Education (HE) in which operations research/management science (OR/MS) techniques are used. Key examples include: international comparisons, university rankings, and rating academic efficiency with Data Envelopment Analysis (DEA); formulating academic strategy with balanced scorecard; budgeting and planning with linear and quadratic models; student forecasting; E-learning evaluation; faculty evaluation with questionnaires and multivariate statistics; marketing for HE; analytic and educational simulation; academic information systems; technology transfer with systems analysis; and examination timetabling. Overviews, case studies and findings on advanced OR/MS applications in various functional areas of HE are included.

Data Envelopment Analysis

Author : Joe Zhu
Publisher : Springer
Page : 587 pages
File Size : 48,9 Mb
Release : 2016-03-22
Category : Business & Economics
ISBN : 9781489976840

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Data Envelopment Analysis by Joe Zhu Pdf

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.

Data Envelopment Analysis

Author : Joe Zhu
Publisher : Springer
Page : 465 pages
File Size : 41,9 Mb
Release : 2015-03-18
Category : Business & Economics
ISBN : 9781489975539

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Data Envelopment Analysis by Joe Zhu Pdf

This handbook represents a milestone in the progression of Data Envelopment Analysis (DEA). Written by experts who are often major contributors to DEA theory, it includes a collection of chapters that represent the current state-of-the-art in DEA research. Topics include distance functions and their value duals, cross-efficiency measures in DEA, integer DEA, weight restrictions and production trade-offs, facet analysis in DEA, scale elasticity, benchmarking and context-dependent DEA, fuzzy DEA, non-homogenous units, partial input-output relations, super efficiency, treatment of undesirable measures, translation invariance, stochastic nonparametric envelopment of data, and global frontier index. Focusing only on new models/approaches of DEA, the book includes contributions from Juan Aparicio, Mette Asmild, Yao Chen, Wade D. Cook, Juan Du, Rolf Färe, Julie Harrison, Raha Imanirad, Andrew Johnson, Chiang Kao, Abolfazl Keshvari, Timo Kuosmanen, Sungmook Lim, Wenbin Liu, Dimitri Margaritis, Reza Kazemi Matin, Ole B. Olesen, Jesus T. Pastor, Niels Chr. Petersen, Victor V. Podinovski, Paul Rouse, Antti Saastamoinen, Biresh K. Sahoo, Kaoru Tone, and Zhongbao Zhou.

The Palgrave Handbook of Economic Performance Analysis

Author : Thijs ten Raa,William H. Greene
Publisher : Springer Nature
Page : 766 pages
File Size : 43,9 Mb
Release : 2019-12-13
Category : Business & Economics
ISBN : 9783030237271

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The Palgrave Handbook of Economic Performance Analysis by Thijs ten Raa,William H. Greene Pdf

This Handbook takes an econometric approach to the foundations of economic performance analysis. The focus is on the measurement of efficiency, productivity, growth and performance. These concepts are commonly measured residually and difficult to quantify in practice. In real-life applications, efficiency and productivity estimates are often quite sensitive to the models used in the performance assessment and the methodological approaches adopted by the analysis. The Palgrave Handbook of Performance Analysis discusses the two basic techniques of performance measurement – deterministic benchmarking and stochastic benchmarking – in detail, and addresses the statistical techniques that connect them. All chapters include applications and explore topics ranging from the output/input ratio to productivity indexes and national statistics.

Environmental Assessment on Energy and Sustainability by Data Envelopment Analysis

Author : Toshiyuki Sueyoshi,Mika Goto
Publisher : John Wiley & Sons
Page : 719 pages
File Size : 55,6 Mb
Release : 2018-03-19
Category : Mathematics
ISBN : 9781118979341

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Environmental Assessment on Energy and Sustainability by Data Envelopment Analysis by Toshiyuki Sueyoshi,Mika Goto Pdf

Introduces a bold, new model for energy industry pollution prevention and sustainable growth Balancing industrial pollution prevention with economic growth is one of the knottiest problems faced by industry today. This book introduces a novel approach to using data envelopment analysis (DEA) as a powerful tool for achieving that balance in the energy industries—the world’s largest producers of greenhouse gases. It describes a rigorous framework that integrates elements of the social sciences, corporate strategy, regional economics, energy economics, and environmental policy, and delivers a methodology and a set of strategies for promoting green innovation while solving key managerial challenges to greenhouse gas reduction and business growth. In writing this book the authors have drawn upon their pioneering work and considerable experience in the field to develop an unconventional, holistic approach to using DEA to assess key aspects of sustainability development. The book is divided into two sections, the first of which lays out a conventional framework of DEA as the basis for new research directions. In the second section, the authors delve into conceptual and methodological extensions of conventional DEA for solving problems of environmental assessment in all contemporary energy industry sectors. Introduces a powerful new approach to using DEA to achieve pollution prevention, sustainability, and business growth Covers the fundamentals of DEA, including theory, statistical models, and practical issues of conventional applications of DEA Explores new statistical modeling strategies and explores their economic and business implications Examines applications of DEA to environmental analysis across the complete range of energy industries, including coal, petroleum, shale gas, nuclear energy, renewables, and more Summarizes important studies and nearly 800 peer reviewed articles on energy, the environment, and sustainability Environmental Assessment on Energy and Sustainability by Data Envelopment Analysis is must-reading for researchers, academics, graduate students, and practitioners in the energy industries, as well as government officials and policymakers tasked with regulating the environmental impacts of industrial pollution.

Handbook on Data Envelopment Analysis

Author : William W. Cooper,Lawrence M. Seiford,Joe Zhu
Publisher : Unknown
Page : 612 pages
File Size : 44,5 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 1475784791

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Handbook on Data Envelopment Analysis by William W. Cooper,Lawrence M. Seiford,Joe Zhu Pdf

Data Envelopment Analysis

Author : Joe Zhu
Publisher : Unknown
Page : 182 pages
File Size : 48,7 Mb
Release : 2014-05-06
Category : Benchmarking (Management)
ISBN : 1497591341

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Data Envelopment Analysis by Joe Zhu Pdf

The current book introduces the methodology of data envelopment analysis (DEA) as a data-oriented operations analytics. This data analysis tool analyzes multiple performance metrics, integrates multi-dimensional data into a composite index, and recommends directions for improvement. A number of DEA books have been written for conventional and new DEA models. Yet, many of these books still require fundamental and necessary knowledge on linear mathematical optimization. This book is uniquely designed to present the DEA methodology in an applied setting where a reader is not required to have the knowledge on linear programming and linear algebra.

Data Science and Productivity Analytics

Author : Vincent Charles,Juan Aparicio,Joe Zhu
Publisher : Springer Nature
Page : 441 pages
File Size : 51,7 Mb
Release : 2020-05-23
Category : Business & Economics
ISBN : 9783030433840

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Data Science and Productivity Analytics by Vincent Charles,Juan Aparicio,Joe Zhu Pdf

This book includes a spectrum of concepts, such as performance, productivity, operations research, econometrics, and data science, for the practically and theoretically important areas of ‘productivity analysis/data envelopment analysis’ and ‘data science/big data’. Data science is defined as the collection of scientific methods, processes, and systems dedicated to extracting knowledge or insights from data and it develops on concepts from various domains, containing mathematics and statistical methods, operations research, machine learning, computer programming, pattern recognition, and data visualisation, among others. Examples of data science techniques include linear and logistic regressions, decision trees, Naïve Bayesian classifier, principal component analysis, neural networks, predictive modelling, deep learning, text analysis, survival analysis, and so on, all of which allow using the data to make more intelligent decisions. On the other hand, it is without a doubt that nowadays the amount of data is exponentially increasing, and analysing large data sets has become a key basis of competition and innovation, underpinning new waves of productivity growth. This book aims to bring a fresh look onto the various ways that data science techniques could unleash value and drive productivity from these mountains of data. Researchers working in productivity analysis/data envelopment analysis will benefit from learning about the tools available in data science/big data that can be used in their current research analyses and endeavours. The data scientists, on the other hand, will also get benefit from learning about the plethora of applications available in productivity analysis/data envelopment analysis.

Handbook of Research on Strategic Performance Management and Measurement Using Data Envelopment Analysis

Author : Osman, Ibrahim H.
Publisher : IGI Global
Page : 735 pages
File Size : 41,7 Mb
Release : 2013-08-31
Category : Business & Economics
ISBN : 9781466644755

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Handbook of Research on Strategic Performance Management and Measurement Using Data Envelopment Analysis by Osman, Ibrahim H. Pdf

Organizations can use the valuable tool of data envelopment analysis (DEA) to make informed decisions on developing successful strategies, setting specific goals, and identifying underperforming activities to improve the output or outcome of performance measurement. The Handbook of Research on Strategic Performance Management and Measurement Using Data Envelopment Analysis highlights the advantages of using DEA as a tool to improve business performance and identify sources of inefficiency in public and private organizations. These recently developed theories and applications of DEA will be useful for policymakers, managers, and practitioners in the areas of sustainable development of our society including environment, agriculture, finance, and higher education sectors.

Handbook on Data Envelopment Analysis

Author : William W. Cooper,Lawrence M. Seiford,Joe Zhu
Publisher : Springer Science & Business Media
Page : 498 pages
File Size : 43,5 Mb
Release : 2011-08-23
Category : Business & Economics
ISBN : 1441961518

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Handbook on Data Envelopment Analysis by William W. Cooper,Lawrence M. Seiford,Joe Zhu Pdf

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 of basic DEA models, which, in the present issue extensions to the basic DEA methods, and a collection of DEA applications in the areas of banking, engineering, health care, and services. The handbook's chapters are organized into two categories: (i) basic DEA models, concepts, and their extensions, and (ii) DEA applications. First edition contributors have returned to update their work. The second edition includes updated versions of selected first edition chapters. New chapters have been added on: different approaches with no need for a priori choices of weights (called “multipliers) that reflect meaningful trade-offs, construction of static and dynamic DEA technologies, slacks-based model and its extensions, DEA models for DMUs that have internal structures network DEA that can be used for measuring supply chain operations, Selection of DEA applications in the service sector with a focus on building a conceptual framework, research design and interpreting results.

A Modern Guide to Tourism Economics

Author : Croes, Robertico,Yang, Yang
Publisher : Edward Elgar Publishing
Page : 455 pages
File Size : 43,9 Mb
Release : 2022-09-06
Category : Business & Economics
ISBN : 9781800378766

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A Modern Guide to Tourism Economics by Croes, Robertico,Yang, Yang Pdf

This Modern Guide captures the evolution of foundational tenets, theories, frameworks and models that buttressed tourism economics into an evolving discipline, shining light on both new and old approaches. It systematically examines current and future trends and issues related to new economic perspectives, consolidating the notion of tourism economics as a discipline.

Data Envelopment Analysis

Author : D. Chai,Joe Zhu
Publisher : Unknown
Page : 612 pages
File Size : 48,6 Mb
Release : 2014-03-31
Category : Electronic
ISBN : 1489980695

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Data Envelopment Analysis by D. Chai,Joe Zhu Pdf

Data Science Concepts and Techniques with Applications

Author : Usman Qamar,Muhammad Summair Raza
Publisher : Springer Nature
Page : 207 pages
File Size : 42,5 Mb
Release : 2020-06-08
Category : Computers
ISBN : 9789811561337

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Data Science Concepts and Techniques with Applications by Usman Qamar,Muhammad Summair Raza Pdf

This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three sections: The first section is an introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics. Followed by discussion on wide range of applications of data science and widely used techniques in data science. The second section is devoted to the tools and techniques of data science. It consists of data pre-processing, feature selection, classification and clustering concepts as well as an introduction to text mining and opining mining. And finally, the third section of the book focuses on two programming languages commonly used for data science projects i.e. Python and R programming language. Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. The book is suitable for both undergraduate and postgraduate students as well as those carrying out research in data science. It can be used as a textbook for undergraduate students in computer science, engineering and mathematics. It can also be accessible to undergraduate students from other areas with the adequate background. The more advanced chapters can be used by postgraduate researchers intending to gather a deeper theoretical understanding.