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Springer Data Envelopment Analysis Handbook - Network Modeling

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Description

This comprehensive handbook extends Data Envelopment Analysis research by providing state-of-the-art DEA modelling techniques for internal structures and network analysis. Part of the International Series in Operations Research & Management Science (volume 208), it complements the foundational Handbook on Data Envelopment Analysis and serves researchers, academics and practitioners seeking advanced knowledge. The handbook covers two-stage network performance decomposition methods, identifies critical pitfalls in network DEA modelling to help practitioners avoid common mistakes, and explores efficiency decompositions across three structural types: series, parallel and dynamic configurations. Each chapter builds systematically on core concepts, making this resource invaluable for operations research professionals, management scientists and anyone developing sophisticated performance measurement systems using DEA methodology.

Key Features

Springer publication offering authoritative coverage of advanced Data Envelopment Analysis modelling techniques for network structures and internal performance analysis.

Chapter 1 surveys two-stage network performance decomposition and modelling techniques, providing foundational knowledge for complex DEA applications.

Chapter 2 identifies and discusses pitfalls in network DEA modelling, helping practitioners avoid implementation errors and design more robust analysis frameworks.

Chapter 3 examines efficiency decompositions in network DEA across series, parallel and dynamic structures, enabling analysis of diverse organisational configurations.

Volume 208 in the International Series in Operations Research & Management Science, designed as a complement to the core Data Envelopment Analysis handbook.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
11 August 2016
Listed Since
22 July 2016

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