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Springer Data Envelopment Analysis Handbook - DEA Models & Methods

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Description

This comprehensive handbook on Data Envelopment Analysis represents the current state-of-the-art in DEA research and theory. Written by leading experts and major contributors to DEA development, it covers essential topics including distance functions and their value duals, cross-efficiency measures, integer DEA, weight restrictions, production trade-offs, facet analysis, scale elasticity, benchmarking, context-dependent DEA, fuzzy DEA, non-homogenous units, and partial input-output relations. The volume also addresses super efficiency and treatment of undesirable outputs, making it an essential reference for researchers, practitioners, and students in operations research and management science. Part of the International Series in Operations Research & Management Science series, this Springer publication brings together cutting-edge methodologies and practical applications for organisations seeking to optimise performance evaluation and resource allocation through advanced analytical techniques.

Key Features

Data Envelopment Analysis handbook covers distance functions, value duals, and cross-efficiency measures for comprehensive performance evaluation.

Integer DEA, weight restrictions, and production trade-offs guidance helps optimise decision-making in operations research applications.

Advanced topics including fuzzy DEA, facet analysis, and scale elasticity provide sophisticated analytical frameworks for complex organisational assessments.

Treatment of undesirable outputs and super efficiency methods address real-world challenges in benchmarking and context-dependent analysis.

Published by Springer as part of the International Series in Operations Research & Management Science collection (volume 221).

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 October 2016
Listed Since
29 September 2016

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