Quantitative Models for Performance Evaluation and Benchmarking - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Quantitative Models for Performance Evaluation and Benchmarking write by Joe Zhu. This book was released on 2008-10-20. Quantitative Models for Performance Evaluation and Benchmarking available in PDF, EPUB and Kindle. 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
Quantitative Models for Performance Evaluation and Benchmarking - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Quantitative Models for Performance Evaluation and Benchmarking write by Joe Zhu. This book was released on 2003. Quantitative Models for Performance Evaluation and Benchmarking available in PDF, EPUB and Kindle. Basic DEA models; Measure-specific DEA models; Returns-to-scale; DEA with preference; Modeling undesirable measures; Context-dependent Data Envelopment analysis; Benchmarking models; Models for evaluating value chains; Congestion; Super efficiency; Sensitivity analysis and its uses; DEA excel solver.
Quantitative Models for Performance Evaluation and Benchmarking
Quantitative Models for Performance Evaluation and Benchmarking - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Quantitative Models for Performance Evaluation and Benchmarking write by Joe Zhu. This book was released on 2013-03-09. Quantitative Models for Performance Evaluation and Benchmarking available in PDF, EPUB and Kindle. 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
Quantitative Models for Performance Evaluation and Benchmarking - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Quantitative Models for Performance Evaluation and Benchmarking write by Joe Zhu. This book was released on 2014-09-11. Quantitative Models for Performance Evaluation and Benchmarking available in PDF, EPUB and Kindle. The author is one of the prominent researchers in the field of Data Envelopment Analysis (DEA), a powerful data analysis tool that can be used in performance evaluation and benchmarking. This book is based upon the author’s years of research and teaching experiences. It is difficult to evaluate an organization’s performance when multiple performance metrics are present. The difficulties are further enhanced when the relationships among the performance metrics are complex and involve unknown tradeoffs. This book introduces Data Envelopment Analysis (DEA) as a multiple-measure performance evaluation and benchmarking tool. The focus of performance evaluation and benchmarking is shifted from characterizing performance in terms of single measures to evaluating performance as a multidimensional systems perspective. Conventional and new DEA approaches are presented and discussed using Excel spreadsheets — one of the most effective ways to analyze and evaluate decision alternatives. The user can easily develop and customize new DEA models based upon these spreadsheets. DEA models and approaches are presented to deal with performance evaluation problems in a variety of contexts. For example, a context-dependent DEA measures the relative attractiveness of similar operations/processes/products. Sensitivity analysis techniques can be easily applied, and used to identify critical performance measures. Two-stage network efficiency models can be utilized to study performance of supply chain. DEA benchmarking models extend DEA’s ability in performance evaluation. Various cross efficiency approaches are presented to provide peer evaluation scores. This book also provides an easy-to-use DEA software — DEAFrontier. This DEAFrontier is an Add-In for Microsoft® Excel and provides a custom menu of DEA approaches. This version of DEAFrontier is for use with Excel 97-2013 under Windows and can solve up to 50 DMUs, subject to the capacity of Excel Solver. It is an extremely powerful tool that can assist decision-makers in benchmarking and analyzing complex operational performance issues in manufacturing organizations as well as evaluating processes in banking, retail, franchising, health care, public services and many other industries.
Quantitative Evaluation of Systems
Quantitative Evaluation of Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Quantitative Evaluation of Systems write by Alessandro Abate. This book was released on 2021-08-19. Quantitative Evaluation of Systems available in PDF, EPUB and Kindle. This book constitutes the proceedings of the 18th International Conference on Quantitative Evaluation Systems, QEST 2021, held in Paris, France, in August 2021. The 21 full papers and 2 short papers presented together with 2 keynote papers were carefully reviewed and selected from 47 submissions. The papers are organized in the following topics: probabilistic model checking; quantitative models and metamodels: analysis and validation; queueing systems; learning and verification; simulation; performance evaluation; abstractions and aggregations; and stochastic models.
