Quantitative Models for Performance Evaluation and Benchmarking

Released on by Joe Zhu
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  • Quantitative Models for Performance Evaluation and Benchmarking Book Detail

  • Author : Joe Zhu
  • Release Date : 2008-10-20
  • Publisher : Springer Science & Business Media
  • Genre : Business & Economics
  • Pages : 336
  • ISBN 13 : 0387859829
  • File Size : 24,24 MB
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Quantitative Models for Performance Evaluation and Benchmarking by Joe Zhu PDF Summary

Book Description: 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.

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Quantitative Evaluation of Systems

Quantitative Evaluation of Systems

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This book constitutes the proceedings of the 18th International Conference on Quantitative Evaluation Systems, QEST 2021, held in Paris, France, in August 2021.