Data Envelopment Analysis (DEA) - What, How and Where?


Speaker


Abstract

Data Envelopment Analysis (DEA) is a relatively new data oriented approach for evaluating the performance of a set of peer entities called Decision Making Units (DMUs) which convert multiple inputs into multiple outputs. The definition of a DMU is generic and flexible. Recent years have seen a great variety of applications of DEA for use in evaluating the performances of many different kinds of entities engaged in many different activities in many different contexts in many different countries. These DEA applications have used DMUs of various forms to evaluate the performance of entities, such as hospitals, US Air Force wings, universities, cities, courts, business firms, and others, including the performance of countries, regions, etc. Because it requires very few assumptions, DEA has also opened up possibilities for use in cases which have been resistant to other approaches because of the complex (often unknown) nature of the relations between the multiple inputs and multiple outputs involved in DMUs. This talk will introduce DEA and discuss how DEA can be applied to such areas as impact of information technology, marketing, finance, supply chain performance and benchmarking. Professor Zhu will also talk about the publication strategies/potentials of using DEA as a research methodology based upon his editorial experiences and as an author.
 
Bio
Joe Zhu is Associate Professor of Operations, Department of Management at Worcester Polytechnic Institute, Worcester, MA. He earned a Ph.D. in Industrial Engineering from University of Massachusetts at Amherst in 1998.
 
His research interests include issues of productivity and benchmarking, supply chain design and efficiency, and applications of Data Envelopment Analysis.
 
He has published over 70 articles in peer-reviewed journals such as Management Science, Operations Research, IIE Transactions, Naval Research Logistics, European Journal of Operational Research, Journal of Operational Research Society, Information Technology and Management Journal, Annals of Operations Research, Computer and Operations Research, OMEGA, International Journal of Production Economics, Socio-Economic Planning Sciences, Journal of Productivity Analysis, INFOR, Journal of Portfolio Management, and others.
 
He is the author of Quantitative Models for Evaluating Business Operations: Data Envelopment Analysis with Spreadsheets (Kluwer Academic Publishers, 2003). He developed the DEAFrontier software which is a DEA add-in for Microsoft Excel. Professor Zhu has also co-authored three books on modeling performance measurement, evaluating hedge funds and service productivity. He is a co-editor of the DEA handbook. He is an Area Editor of OMEGA and an Associate Editor of INFOR. He is also a member of Computers & Operations Research Editorial Board. For more information on his research, please visit www.deafrontier.com.
 
Contact information:
Chien Ming Chen
Email