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.

This paper analyzes the short-term market efficiency of the mutual fund industry around the world. Using a unique database of worldwide domestic equity funds, it employs a parametric (regression model) and non-parametric (Data Envelopment Analysis (DEA) model) approaches to establish a relation between cost (expense ratio, turnover, loads, and risk) and benefit (return) of mutual funds. The empirical results of the parametric approach show a statistically significant negative relationship between expenses and risk-adjusted performance across countries. When we reexamine this relationship using a non-parametric approach, we show, in contrast to our previous result, a positive relationship between expenses and risk-adjusted performance. Thus, using the DEA methodology, we find strong evidence that equity mutual funds around the world are approximately mean-variance efficient.

Industrial engineering originated in the United States, and although the popularity of this discipline has grown worldwide, there is still little information available outside of the US regarding its practical use and application. Industrial Engineering Non-Traditional Applications in International Settings raises the bar and examines industrial engineering from a global perspective. Representing the best papers from the International Institute of Industrial Engineers (IIIE) conference held in Istanbul in June 2013, and developed by contributors from at least six different countries, this material lends their expertise on the international impact of industrial engineering applications and provides a thorough understanding of the subject. Focusing on two key aspects of the industrial engineering (IE) discipline, non-traditional settings and international environments, the book introduces applications and incorporates case studies illustrating how IE-based tools and techniques have been applied to diverse environments around the world. Each chapter represents a novel application of industrial tools and techniques. In addition, the authors highlight some of the more exciting developments and implementations of industrial engineering. The book enables both students and practitioners to learn from universal best practices and observe the international growth of the discipline. Consisting of ten chapters, this groundbreaking work includes content that: Presents applications in the area of natural resource development, or more specifically open-pit mining, to optimize the extraction sequence of blocks—an operation that can have a major impact on mining profitability Studies disasters and details where to best locate sites for disaster waste procession (multiobjective optimization is used to identify site locations and provide solution guidance) Examines factors affecting buying patterns and behaviors at private shopping clubs (Turkey is used as a benchmark and a technology acceptance model is used to study the buying behavior) Explores optimization methods that can be used to increase the effectiveness of the timing of traffic signals Discusses the Turkish banking sector and the measurement of efficiency of its banks (a topic that greatly impacts the emerging financial market) Applies quantitative models to study 29 commercial banks and 12 investment banks Industrial Engineering Non-Traditional Applications in International Settings explores the globalization of this expanding discipline and serves as a guide to industry professionals including systems, industrials, manufacturing engineers, design, production, environmental, and Lean Six Sigma engineers, and is also relevant to applied ergonomics, business scm, business logistics, and business operations management.

Industrial Engineering: Management, Tools, and Applications, Three Volume Set provides innovation applications and case studies that are drawn from multiple countries. The chapters in the books represent the best papers from the International Institute of Industrial Engineering (IIIE) Conference held in Istanbul in June 2013, sponsored by the II

This paper employs Data Envelopment Analysis to measure for the first time the performance of Greek domestic equity mutual funds over four different one-year horizons and for the whole four-year period. In particular, the model used examines whether fund managers employ inputs (i.e. assets, loads, and risk) efficiently to produce output (returns). The results demonstrate that the efficient funds form the smaller part of the examined sample of funds, the average efficiency rises over time, and that the mean-variance efficiency hypothesis holds for the inefficient funds over the whole period. Moreover, the evidence from the identified sources of inefficiency suggests that fund managers should put more emphasis on the management of assets and the specification of front-end and back-end loads.

This book provides a comprehensive and practical introduction to Data Envelopment Analysis (DEA). It explains how this non-parametric technique is used to measure performance and extract efficiency from homogeneous entities within a production procedure. It situates DEA within a growing field of productivity analysis and performance measurement, for which numerous models have been proposed. This book encapsulates all of the advances in DEA models proposed in the literature. These models are presented in the context of the GAMS software, which is a powerful tool for mathematical programming models. This book serves two educational purposes: it introduces readers to DEA models and provides examples using GAMS. In addition, the reader is introduced to GAMS programming, as well as innovative and practical applications. GAMS codes are available for free, allowing readers to test and expand the models to meet their specific needs.