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.
Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets and DEA Excel Solver
Hardaker , J. B. , Huirne , R. B. M. , Anderson , J. R. ( 1997 ) : Coping with Risk in Agriculture . CAB International , Wallingford , UK 5. ... Kay , R. D. ( 1994 ) : Farm Management , 3rd Edition . McGraw - Hill , New York 9.
Zhu, J. (2002), Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets and DEA Excel Solver, Kluwer Academic Publishers, Boston. Part of this chapter is based upon chapter 1 in Zhu, ...
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Note that the confetti should be most dense at the origin, with the density falling off gradually to 0 on the (8z)1/4-standard ... that the exact best pattern is a square of side 11.7, and that the associated kill probability is 0.80.
... Ozcan/ HEALTH CARE BENCHMARKING AND PERFORMANCE EVALUATION: An Assessment using Data Envelopment Analysis (DEA) Wierenga/ HANDBOOK OF MARKETING DECISION MODELS Agrawal & Smith/RETAIL SUPPLY CHAIN MANAGEMENT: Quantitative Models and ...
In: International Series in Operations Research & Management Science. Springer (2014). ISBN-13: 978-1489974686 Zhu, J.: Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment ...
... Ozcan/ HEALTH CARE BENCHMARKING AND PERFORMANCE EVALUATION: An Assessment using Data Envelopment Analysis (DEA) Wierenga/ HANDBOOK OF MARKETING DECISION MODELS Agrawal & Smith/ RETAIL SUPPLY CHAIN MANAGEMENT: Quantitative Models and ...
Written for graduate and postgraduate students, as well as academics and practitioners, the book is divided into four chapters that all avoid the typical format of definitions, theorems and proofs and instead introduce concepts and results ...
... BENCHMARKING AND PERFORMANCE EVALUATION: An Assessment using Data Envelopment Analysis (DEA) Wierenga/HANDBOOK OF MARKETING DECISIONMODELS Agrawal & Smith/RETAIL SUPPLY CHAIN MANAGEMENT: Quantitative Models and Empirical Studies ...