Del i serien International Series in Operations Research & Management Science

Quantitative Models for Performance Evaluation and Benchmarking

Data Envelopment Analysis with Spreadsheets

Inbunden, Engelska, 2008

AvJoe Zhu

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Performance evaluation and benchmarking are a widely used method to identify and adopt best practices as a means to improve performance and increase productivity, and are particularly valuable when no objective or engineered standard is available to define efficient and effective performance.

Produktinformation

Utgivningsdatum2008-11-21
Mått164 x 244 x 23 mm
Vikt666 g
FormatInbunden
SpråkEngelska
SerieInternational Series in Operations Research & Management Science
Antal sidor327
Upplaga2
FörlagSpringer-Verlag New York Inc.
ISBN9780387859811

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Joe Zhu is Associated Professor of Operations, Department of Management at Worcester Polytechnic Institute, Worcester, MA. His research interests include issues of performance evaluation and benchmarking, supply chain design and efficiency, and Data Envelopment Analysis. 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. 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 two books on modeling performance measurement and evaluating hedge funds. He is a co-editor of the DEA handbook. He is an Associate Editor of OMEGA and The Asia-Pacific Journal of Operational Research. He is also a member of Computers & Operations Research Editorial Board. For more information on his research, please visit www.deafrontier.com.

Envelopment DEA Models.- Multiplier and Slack-based Models.- Measure-specific DEA Models.- Non-radial DEA Models and DEA with Preference.- Modeling Undesirable Measures.- Context-dependent Data Envelopment Analysis.- Benchmarking Models.- Models for Evaluating Supply Chains.- Congestion.- Super Efficiency.- Sensitivity Analysis.- Identifying Critical Measures in DEA.- Returns-to-Scale.- DEA Models for Two-Stage Processes.