| 書(shū)目名稱 | Quantitative Models for Performance Evaluation and Benchmarking | | 副標(biāo)題 | Data Envelopment Ana | | 編輯 | Joe Zhu | | 視頻video | http://file.papertrans.cn/781/780927/780927.mp4 | | 叢書(shū)名稱 | International Series in Operations Research & Management Science | | 圖書(shū)封面 |  | | 描述 | 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 meth | | 出版日期 | Book 20031st edition | | 關(guān)鍵詞 | DEA (data envelopment analysis); Data Envelopment Analysis; Data-Envelopment-Analysis; benchmarking; cal | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4757-4246-6 | | isbn_ebook | 978-1-4757-4246-6Series ISSN 0884-8289 Series E-ISSN 2214-7934 | | issn_series | 0884-8289 | | copyright | Springer-Verlag US 2003 |
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