Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Article

Download BibTeX

Title

robustDEA: A Java library for robust efficiency analysis

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2024

Published in

SoftwareX

Journal year: 2024 | Journal volume: vol. 26

Article type

scientific article

Publication language

english

Keywords
EN
  • Data envelopment analysis
  • Efficiency
  • Robustness analysis
  • Mathematical programming
  • Monte Carlo simulation
  • Java
Abstract

EN We propose a Java library, called robustDEA, facilitating the exploration of all scenarios pertinent to Data Envelopment Analysis. These scenarios encompass feasible weights for inputs and outputs, other model parameter values, and the performances of units under examination. The software conducts robustness analysis employing either ratio-based or additive value efficiency models. The integrated methods employ mathematical programming to deliver precise, robust outcomes and Monte Carlo simulations for generating stochastic acceptability indices. The software considers various dimensions of efficiency – scores, pairwise relations, and rankings – while accommodating user-defined preferences through linear constraints and the hierarchical structure of indicators. It has been applied to real-world problems across economics, energy, healthcare, and transport.

Pages (from - to)

101749-1 - 101749-8

DOI

10.1016/j.softx.2024.101749

URL

https://www.sciencedirect.com/science/article/pii/S2352711024001201

Comments

Article Number: 101749

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / journal

200

Impact Factor

3,4 [List 2022]

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.