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Network data envelopment analysisfoundations and extensions /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Network data envelopment analysisby Chiang Kao.
其他題名:	foundations and extensions /
作者:	Kao, Chiang.
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	xvii, 475 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Data envelopment analysis.
電子資源:	https://doi.org/10.1007/978-3-031-27593-7
ISBN:	9783031275937$q(electronic bk.)

Network data envelopment analysisfoundations and extensions /
Kao, Chiang.

Network data envelopment analysisfoundations and extensions /[electronic resource] :by Chiang Kao. - Second edition. - Cham :Springer International Publishing :2023. - xvii, 475 p. :ill., digital ;24 cm. - International series in operations research & management science,v. 3402214-7934 ;. - International series in operations research & management science ;v. 140..

Introduction -- Output-Input Ratio Efficiency Measures -- Distance Function Efficiency Measures- Slacks-Based Efficiency Measures -- Efficiency Measurement in Special Production Stages -- Special Types of Input and Output Factors -- Special Types of Data -- Changes of Efficiency over Time -- Basic Ideas in Efficiency Measurement for Network Systems Basic Two-stage Systems -- General Two-stage Systems -- Multi-Stage Systems -- Parallel Systems -- Mixed Systems -- Dynamic Systems -- Linkage Efficiency -- External and Internal Evaluations -- Epilogue -- Index.

This second edition systematically presents the underlying theory, model development, and applications of network Data Envelopment Analysis (DEA) It discusses the models used to measure the efficiency of systems in specific network structures and introduces readers to the latest applications. It demonstrates how the "network DEA" approach helps identify and manage the specific components that cause inefficiencies in the overall system. The existing models for measuring the efficiency of systems in specific network structures are also discussed, and the relationships between system efficiency and component efficiency are explored. Moreover, the book provides an advanced exposition on performance evaluation of systems with network structures. It explores the networked nature of most production and operation systems, and explains why network analyses are necessary. Accordingly, the book will inspire new research and applications based on the state of the art. In this new edition, the latest research advances and discoveries are discussed. Two new chapters on Linkage Efficiency and External and Internal Evaluations have been added. This book is mainly aimed at researchers and graduate students who are interested in performance evaluation, DEA, and multi-criteria decision analysis. Practitioners who want to measure the performance of production, operation, or any type of decision-making units will also find it useful.

ISBN: 9783031275937$q(electronic bk.)

Standard No.: 10.1007/978-3-031-27593-7doiSubjects--Topical Terms:

214877
Data envelopment analysis.

LC Class. No.: HA31.38

Dewey Class. No.: 519.72

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520 $a This second edition systematically presents the underlying theory, model development, and applications of network Data Envelopment Analysis (DEA) It discusses the models used to measure the efficiency of systems in specific network structures and introduces readers to the latest applications. It demonstrates how the "network DEA" approach helps identify and manage the specific components that cause inefficiencies in the overall system. The existing models for measuring the efficiency of systems in specific network structures are also discussed, and the relationships between system efficiency and component efficiency are explored. Moreover, the book provides an advanced exposition on performance evaluation of systems with network structures. It explores the networked nature of most production and operation systems, and explains why network analyses are necessary. Accordingly, the book will inspire new research and applications based on the state of the art. In this new edition, the latest research advances and discoveries are discussed. Two new chapters on Linkage Efficiency and External and Internal Evaluations have been added. This book is mainly aimed at researchers and graduate students who are interested in performance evaluation, DEA, and multi-criteria decision analysis. Practitioners who want to measure the performance of production, operation, or any type of decision-making units will also find it useful.
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