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Quantitative Models for Performance Evaluation and Benchmarking : Data Envelopment Analysis with Spreadsheets - Joe Zhu
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Joe Zhu:

Quantitative Models for Performance Evaluation and Benchmarking : Data Envelopment Analysis with Spreadsheets - encuadernado, tapa blanda

2014, ISBN: 3319066463

[EAN: 9783319066462], Neubuch, [SC: 0.0], [PU: Springer International Publishing], ENTSCHEIDUNGSTHEORIE; MATHEMATIK / WIRTSCHAFTS- U. SOZIALWISSENSCHAFTEN; MIKROÖKONOMIE; ÖKONOMIK MIKROÖK… Más…

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Zhu, Joe:

Quantitative Models for Performance Evaluation and Benchmarking Data Envelopment Analysis with Spreadsheets - encuadernado, tapa blanda

2015, ISBN: 3319066463

3rd ed. 2014, Corr. 2nd printing 2014 Gebundene Ausgabe Entscheidungstheorie, Mathematik / Wirtschafts- u. Sozialwissenschaften, Mikroökonomie, Ökonomik / Mikroökonomik, Ökonometrie, Op… Más…

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Zhu, Joe:
Quantitative Models for Performance Evaluation and Benchmarking Data Envelopment Analysis with Spreadsheets - libro usado

2015

ISBN: 9783319066462

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Zhu, Joe:
Quantitative Models for Performance Evaluation and Benchmarking Data Envelopment Analysis with Spreadsheets - libro usado

2015, ISBN: 9783319066462

[PU: Springer International Publishing], 3. Auflage. 24828745/1 Altersfreigabe FSK ab 0 Jahre, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 3rd ed. 2014, Corr. 2nd printing … Más…

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Quantitative Models for Performance Evaluation and Benchmarking - Joe Zhu
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Joe Zhu:
Quantitative Models for Performance Evaluation and Benchmarking - encuadernado, tapa blanda

2015, ISBN: 9783319066462

Data Envelopment Analysis with Spreadsheets, Buch, Hardcover, 3rd ed. 2014, Corr. 2nd printing 2014, [PU: Springer International Publishing], Springer International Publishing, 2015

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Detalles del libro
Quantitative Models for Performance Evaluation and Benchmarking

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

Detalles del libro - Quantitative Models for Performance Evaluation and Benchmarking


EAN (ISBN-13): 9783319066462
ISBN (ISBN-10): 3319066463
Tapa dura
Tapa blanda
Año de publicación: 2015
Editorial: Springer International Publishing

Libro en la base de datos desde 2014-04-25T18:06:50-05:00 (Mexico City)
Página de detalles modificada por última vez el 2023-10-27T02:58:27-06:00 (Mexico City)
ISBN/EAN: 9783319066462

ISBN - escritura alterna:
3-319-06646-3, 978-3-319-06646-2
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Autor del libro: zhu
Título del libro: operations research for management, quantitative, models, eva, data envelopment analysis, benchmarking, zhu, performance analysis, data science


Datos del la editorial

Autor: Joe Zhu
Título: International Series in Operations Research & Management Science; Quantitative Models for Performance Evaluation and Benchmarking - Data Envelopment Analysis with Spreadsheets
Editorial: Springer; Springer International Publishing
414 Páginas
Año de publicación: 2014-09-29
Cham; CH
Impreso en
Idioma: Inglés
128,39 € (DE)
131,99 € (AT)
142,00 CHF (CH)
POD
XVII, 414 p. With online files/update.

BB; Hardcover, Softcover / Wirtschaft/Allgemeines, Lexika; Unternehmensforschung; Verstehen; Benchmarking Models; DEA; Data Envelopment Analysis; Multiplier Models; OpenSolver; Performance Evaluation; Super Efficiency; Operations Research and Decision Theory; Operations Research, Management Science; Industrial and Production Engineering; Management: Entscheidungstheorie; Fertigungstechnik und Ingenieurwesen; BB; EA; BC

Based upon the author’s years of research and teaching experiences, this 3rd Edition introduces Data Envelopment Analysis (DEA) as a data analysis tool for multiple-measure performance evaluation and benchmarking. 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.
Joe Zhu is one of the most prominent and published researchers in the field New Material on using Open Solver in Excel 2013 Includes online version of DEA Frontier software in Springer Extras Includes supplementary material: sn.pub/extras

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