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Springer Handbook of Operations Analytics Using Data Envelopment Analysis

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Description

This comprehensive handbook explores Data Envelopment Analysis (DEA) applications in operations analytics, presenting fundamental tools and techniques for enhancing operational functions and achieving sustained competitive advantage. The volume demonstrates how DEA functions as a powerful data envelopment analytics framework for organisations seeking to improve performance metrics and operational efficiency. Featuring detailed case studies including environmental performance measurement across OECS countries and performance metric selection for American banking institutions, the handbook provides practical guidance for implementing DEA methodologies. It covers cross-efficiency evaluation approaches and relational network models for analysing operations across multiple time periods, offering readers actionable insights for applying these analytical methods in real-world business contexts. Part of the International Series in Operations Research & Management Science (Volume 239), this Springer publication combines theoretical foundations with industry-specific applications, making it an essential resource for operations managers, researchers, and analysts seeking to leverage data-driven decision-making strategies.

Key Features

Handbook covers Data Envelopment Analysis applications across operations analytics and management science disciplines.

Includes case study on measuring environmental performance of OECS countries using DEA methodologies.

Presents guidance on selecting performance metrics in DEA with practical application to American banks.

Features cross-efficiency evaluation techniques and relational network models for operational analysis.

Published by Springer as part of the International Series in Operations Research & Management Science.

Combines theoretical frameworks with real-world business applications for operations managers and researchers.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 May 2018
Listed Since
17 August 2018

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