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Quantitative Models for Performance Evaluation and Benchmarking - Zhu, Joe
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2013, ISBN: 9783319066462

ID: 1964670

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. Business Business eBook, Springer International Publishing

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Quantitative Models for Performance Evaluation and Benchmarking - Joe Zhu
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[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - 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 fo, [SC: 0.00], Neuware, gewerbliches Angebot, 241x164x30 mm, [GW: 1089g]

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Quantitative Models for Performance Evaluation and Benchmarking | Zhu - Buch - 3rd edition - Joe Zhu - Joe Zhu
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Quantitative Models for Performance Evaluation and Benchmarking | Zhu - Buch - 3rd edition - Joe Zhu - neues Buch

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Von Joe Zhu: 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 alternativ...; Weitere Fachgebiete > Mathematik > Operational Research, Springer Verlag

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Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets - Joe Zhu
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Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets Joe Zhu, Books, Business and Finance, Management and Leadership, Operations Research, Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets Books>Business and Finance>Management and Leadership>Operations Research, Springer International Publishing

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2014, ISBN: 3319066463

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3rd ed. 2014 Gebundene Ausgabe Entscheidungstheorie, Mathematik / Wirtschafts- u. Sozialwissenschaften, Mikroökonomie, Ökonomik / Mikroökonomik, Ökonometrie, Operations Research, Unternehmensforschung, BUSINESS & ECONOMICS / Operations Research, mit Schutzumschlag neu, [PU:Springer-Verlag GmbH]

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Details zum Buch
Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets (International Series in Operations Research & Management Science)
Autor:

Joe Zhu

Titel:

Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets (International Series in Operations Research & Management Science)

ISBN-Nummer:

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 ot

Detailangaben zum Buch - Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets (International Series in Operations Research & Management Science)


EAN (ISBN-13): 9783319066462
ISBN (ISBN-10): 3319066463
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2015
Herausgeber: Springer International Publishing

Buch in der Datenbank seit 26.04.2014 01:06:50
Buch zuletzt gefunden am 13.07.2017 13:23:09
ISBN/EAN: 9783319066462

ISBN - alternative Schreibweisen:
3-319-06646-3, 978-3-319-06646-2


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