Quantitative Models for Performance Evaluation and Benchmarking
Zhu, Joe
ISBN 10: 0387859810 ISBN 13: 9780387859811
Published by Springer-Verlag New York Inc., 2008
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About this Item
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This book introduces DEA as a multiple-measure performance evaluation and benchmarking tool. This new edition improves a number of DEA spreadsheet models and offers a DEAFrontier software for use with Excel 2007, as well as adds new DEA models and approaches. Series: International Series in Operations Research & Management Science. Num Pages: 327 pages, 46 black & white tables, biography. BIC Classification: KCA; KCC; KCH; KJT. Category: (P) Professional & Vocational. Dimension: 244 x 164 x 23. Weight in Grams: 666. . 2008. 2nd ed. 2009. Hardback. . . . . Books ship from the US and Ireland. Seller Inventory # V9780387859811
Synopsis:
Managers are often under great pressure to improve the performance of their organizations. To improve performance, one needs to constantly evaluate operations or processes related to producing products, providing services, and marketing and selling products. 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. For this reason, benchmarking is often used in managing service operations, because service standards (benchmarks) are more difficult to define than manufacturing standards. Benchmarks can be established but they are somewhat limited as they work with single measurements one at a time. It is difficult to evaluate an organization’s performance when there are multiple inputs and outputs to the system. The difficulties are further enhanced when the relationships between the inputs and the outputs are complex and involve unknown tradeoffs. It is critical to show benchmarks where multiple measurements exist. The current book introduces the methodology of data envelopment analysis (DEA) and its uses in performance evaluation and benchmarking under the context of multiple performance measures.
About the Author:
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.
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Bibliographic Details
Title: Quantitative Models for Performance ...
Publisher: Springer-Verlag New York Inc.
Publication Date: 2008
Binding: Hardcover
Condition: New
Edition: 2nd Edition
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Managers are often under great pressure to improve the performance of their organizations. To improve performance, one needs to constantly evaluate operations or processes related to producing products, providing services, and marketing and selling products. 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. For this reason, benchmarking is often used in managing service operations, because service standards (benchmarks) are more difficult to define than manufacturing standards. Benchmarks can be established but they are somewhat limited as they work with single measurements one at a time. It is difficult to evaluate an organization's performance when there are multiple inputs and outputs to the system. The difficulties are further enhanced when the relationships between the inputs and the outputs are complex and involve unknown tradeoffs. It is critical to show benchmarks where multiple measurements exist. The current book introduces the methodology of data envelopment analysis (DEA) and its uses in performance evaluation and benchmarking under the context of multiple performance measures. 352 pp. Englisch. Seller Inventory # 9780387859811
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