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.
General
| Imprint: |
Springer International Publishing AG
|
| Country of origin: |
Switzerland |
| Series: |
International Series in Operations Research & Management Science, 340 |
| Release date: |
August 2023 |
| Authors: |
Chiang Kao
|
| Dimensions: |
235 x 155mm (L x W) |
| Pages: |
480 |
| Edition: |
2nd ed. 2023 |
| ISBN-13: |
978-3-03-127592-0 |
| Categories: |
Books
|
| LSN: |
3-03-127592-6 |
| Barcode: |
9783031275920 |
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