Network data envelopment analysis : foundations and extensions

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Bibliographic Details
Main Author: Kao, Chiang, (Author)
Format: eBook
Language: English
Published: [Cham] : Springer, [2016]
Series: International series in operations research & management science ; volume 240.
Subjects:
Data envelopment analysis.
Industrial management > Mathematical models.
Operations research.
elektronické knihy
electronic books
ISBN: 9783319317182
9783319317168
Physical Description: 1 online resource

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100 1 |a Kao, Chiang,  |e author. 
245 1 0 |a Network data envelopment analysis :  |b foundations and extensions /  |c Chiang Kao. 
264 1 |a [Cham] :  |b Springer,  |c [2016] 
264 4 |c ©2017 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a International series in operations research & management science,  |x 0884-8289 ;  |v volume 240 
504 |a Includes bibliographical references and index. 
505 0 |a Preface; Contents; About the Author; Chapter 1: Introduction; 1.1 History of Network DEA; 1.2 Basic Ideas of Efficiency Measurement; 1.3 Multi-input Case; 1.4 Multi-output Case; 1.5 Whole-Unit Analysis; 1.6 Network Analysis; 1.7 Supplementary Literature; References; Chapter 2: Output-Input Ratio Efficiency Measures; 2.1 CCR Model; 2.1.1 Input Model; 2.1.2 Output Model; 2.2 BCC Model; 2.2.1 Input Model; 2.2.2 Output Model; 2.3 Restrictions on Multipliers; 2.4 Ranking; 2.5 Supplementary Literature; References; Chapter 3: Distance Function Efficiency Measures; 3.1 Production Possibility Set 
505 8 |a 3.2 Input Distance Function3.3 Output Distance Function; 3.4 Directional Distance Function; 3.5 Supplementary Literature; References; Chapter 4: Slacks-Based Efficiency Measures; 4.1 Additive Model; 4.2 Russell Measures; 4.2.1 Input Model; 4.2.2 Output Model; 4.2.3 Input-Output Average Model; 4.3 Russell Ratio Model; 4.4 A Classification of Efficiency Measures; 4.5 Supplementary Literature; References; Chapter 5: Efficiency Measurement in Special Production Stages; 5.1 Multiplicative Model; 5.1.1 Variable Returns to Scale; 5.1.2 Constant Returns to Scale; 5.2 Free Disposal Hull 
505 8 |a 5.2.1 General Case5.2.2 Constant Returns to Scale; 5.3 Congestion; 5.3.1 Weak Disposability Model; 5.3.2 Slack-Measure Model; 5.3.3 Input-Fixing Model; 5.3.4 Comparison; 5.4 Supplementary Literature; References; Chapter 6: Special Types of Input and Output Factors; 6.1 Non-discretionary Factors; 6.1.1 Input Model; 6.1.2 Output Model; 6.1.3 Dual Model Interpretation; 6.1.4 Constant Returns to Scale; 6.2 Undesirable Factors; 6.2.1 Input-Output Exchange Approach; 6.2.2 Data Transformation; 6.2.2.1 Inverse Transformation; 6.2.2.2 Negative Transformation; 6.2.2.3 Shifted Negative Transformation 
505 8 |a 6.2.3 Weak Disposability Approach6.2.3.1 Hyperbolic Model; 6.2.3.2 Directional Distance Model; 6.2.4 Slacks-Based Approach; 6.3 Supplementary Literature; References; Chapter 7: Special Types of Data; 7.1 Negative Data; 7.2 Ordinal Data; 7.3 Qualitative Data; 7.4 Stochastic Data; 7.5 Interval Data; 7.6 Fuzzy Data; 7.7 Supplementary Literature; References; Chapter 8: Changes of Efficiency Over Time; 8.1 Theoretic Foundation of MPI; 8.1.1 Input Index; 8.1.2 Output Index; 8.1.3 Productivity Index; 8.2 DEA Measurement of MPI; 8.3 Global Malmquist Productivity Index 
505 8 |a 8.4 Luenberger Productivity Index8.5 Supplementary Literature; References; Chapter 9: Basic Ideas in Efficiency Measurement for Network Systems; 9.1 The Black-Box Model; 9.2 Independent Model; 9.2.1 Multiplier Form; 9.2.2 Envelopment Form; 9.2.3 Slacks-Based Form; 9.3 Connected Model; 9.3.1 Envelopment Form; 9.3.2 Multiplier Form; 9.3.3 Slacks-Based Form; 9.4 Relational Model; 9.4.1 Multiplier Form; 9.4.2 Envelopment Form; 9.4.3 Slacks-Based Form; 9.5 An Example; 9.5.1 Independent Model; 9.5.2 Connected Model; 9.5.3 Relational Model; 9.6 Supplementary Literature; References 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 8 |a Annotation  |b This book presents the underlying theory, model development, and applications of network Data Envelopment Analysis (DEA) in a systematic way. The field of network DEA extends and complements conventional DEA by considering not only inputs and outputs when measuring system efficiency, but also the internal structure of the system being analyzed. By analyzing the efficiency of individual internal components, and more particularly by studying the effects of relationships among components which are modeled and implemented by means of various network structures, the network DEA approach is able to help identify and manage the specific components that contribute inefficiencies into the overall systems. This relatively new approach comprises an important analytical tool based on mathematical programming techniques, with valuable implications to production and operations management. The existing models for measuring the efficiency of systems of specific network structures are also discussed, and the relationships between the system and component efficiencies are explored. This book should be able to inspire new research and new applications based on the current state of the art. Performance evaluation is an important task in management, and is needed to (i) better understand the past accomplishments of an organization and (ii) plan for its future development. However, this task becomes rather challenging when multiple performance metrics are involved. DEA is a powerful tool to cope with such issues. For systems or operations composed of interrelated processes, managers need to know how the performances of the various processes evaluated and how they are aggregated to form the overall performance of the system. This book provides an advanced exposition on performance evaluation of systems with network structures. It explores the network nature of most production and operation systems, and explains why network analyses are necessary." 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Data envelopment analysis. 
650 0 |a Industrial management  |x Mathematical models. 
650 0 |a Operations research. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |a Kao, Chiang.  |t Network data envelopment analysis.  |d [Cham] : Springer, [2016]  |z 3319317164  |z 9783319317168  |w (OCoLC)942378914 
830 0 |a International series in operations research & management science ;  |v volume 240. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-31718-2  |y Plný text 
992 |c NTK-SpringerBM 
999 |c 97823  |d 97823 
993 |x NEPOSILAT  |y EIZ 

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