<p> <br/></p>Modeling Performance Measurement: Applications and Implementation Issues in DEA Modeling Performance Measurement<br/>Springer | 2005-01-10 | ISBN: 038724137X | 408 pages | PDF | 12 MB <p><br/>Both DEA researchers and practitioners will find this book helpful. Theory is provided for DEA researchers for further development and possible extensions. However, it should also be mentioned that each theory is presented in practical terms with numerical examples, simple real management cases and verbal descriptions. These concrete examples will be of value to researchers, students, and practitioners.<br/></p><p>Data Envelopment Analysis (DEA) is a data-oriented approach for<br/>performance evaluation and improvement. In recent years, we have observed<br/>a notable increase in interest in DEA techniques and their applications. Basic<br/>DEA models and techniques have been well documented in the DEA<br/>literature. Although these basic DEA models are useful in determining the<br/>best-practice frontier, identification of best-practices is seldom the ultimate<br/>goal with respect to performance evaluation. It is generally important to<br/>further analyze the business operations after the identification of bestpractice,<br/>so that in-depth managerial information can be derived. It is also<br/>important to correctly design and model the performance issues. Because of<br/>the complexity of the business or engineering operations which are often<br/>characterized by multiple functions, multiple stages and multiple levels, new<br/>(and advanced) DEA methods are needed to reconcile the multidimensional<br/>aspects of performance evaluation issues.<br/>The book presents unified results from the authors’ recent DEA research.<br/>New methodologies and techniques are developed in application-driven<br/>scenarios, to go beyond identification of the best-practice frontier, and seek<br/>solutions to aid managerial decisions. These new DEA developments are<br/>deeply grounded in real-world applications. DEA researchers and<br/>practitioners alike will find this book helpful. Theory is provided for DEA<br/>researchers for further development and possible extensions. However, each<br/>theory is also presented in a practical way for DEA practitioners via<br/>numerical examples, simple real management cases and verbal descriptions.<br/>The book covers pure DEA applications in such areas as highway<br/>maintenance, technology implementations, and others. DEA methodology<br/>enhancements are wrapped into applications. New DEA theoretical<br/>developments are included, for example, on how to use DEA as a<br/>xvi Preface<br/>benchmarking tool, and how to use DEA in multi-criteria decision making.<br/>The book provides a balanced coverage of DEA for both academic<br/>researchers and industry practitioners. It addresses advanced/new DEA<br/>methodology and techniques that are developed for modeling unique and<br/>new performance evaluation issues. Some of the DEA models can be<br/>computed using the accompanying DEAFrontier software which is an Excel<br/>Add-In.<br/>Wade D. Cook<br/>Schulich School of Business<br/>York University<br/>4700 Keele Street<br/>Toronto, Ontario<br/>Canada M3J 1P3<br/>Email: wcook@schulich.yorku.ca<br/>Joe Zhu<br/>Department of Management<br/>Worcester Polytechnic Institute<br/>Worcester, MA 01609 USA<br/>Email: jzhu@wpi.edu</p>