He is the author of Quantitative Models for Evaluating Business Operations: Data Envelopment Analysis with Spreadsheets (Kluwer Academic Publishers, 2003). He has published over 70 articles in journals such as Management Science, Operations Research, IIE Transactions, Annals of Operations Research, Journal of Operational Research Society, European Journal of Operational Research, Information Technology and Management Journal, Computer and Operations Research, OMEGA, Socio-Economic Planning Sciences, Journal of Productivity Analysis, INFOR, Journal of Alternative Investment and others. His research interests include issues of performance evaluation and benchmarking, supply chain design and efficiency, and Data Envelopment Analysis. It is also successful in selecting stable projects these are projects that perform well in the majority of the DEA formulations, even if it has not been selected as a wining project by any of the DEA formulations.Joe Zhu is Associated Professor of Operations, Department of Management at Worcester Polytechnic Institute, Worcester, MA. projects with excellent performance in some of the DEA formulations and worse performance in others. The framework is also successful in filtering out some of the projects that have “selective” excellent performance, i.e. This framework is applied to several case studies and proved to successfully select the six sigma project with the best performance. Also in this work, a Multi-DEA Unified Scoring Framework is proposed to overcome this problem.
This work initially applies nine different DEA formulations to several case studies and concludes that different DEA formulations select different wining projects. However, there exist a number of different DEA formulations which may affect the selection process and the wining project being selected. Recently, Data Envelopment Analysis (DEA) has been proposed as a six sigma project selection tool. The successfulness of the six sigma initiative is affected by successful project selection.
Selecting the Six Sigma Project: A Multi Data Envelopment Analysis Unified Scoring Frameworkĭata Envelopment Analysis, Six Sigma Project Selection, Multi-DEA Unified Scoring FrameworkĪBSTRACT: The importance of the project selection phase in any six sigma initiative cannot be emphasized enough.
(2003) Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets and DEA Excel Solver.
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