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Article

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Title

Exact and stochastic methods for robustness analysis in the context of Imprecise Data Envelopment 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

2023

Published in

Operational Research

Journal year: 2023 | Journal volume: vol. 23 | Journal number: iss. 1

Article type

scientific article

Publication language

english

Keywords
EN
  • Data Envelopment Analysis
  • Imprecise performances
  • Robustness analysis
  • Monte Carlo simulation
  • Open-source software
Abstract

EN We consider the problem of measuring the efficiency of decision-making units with a ratio-based model. In this perspective, we introduce a framework for robustness analysis that admits both interval and ordinal performances on inputs and outputs. The proposed methodology exploits the uncertainty related to the imprecise data and all feasible input/output weight vectors delimited through linear constraints. We offer methods for verifying the robustness of three types of outcomes: efficiency scores, efficiency preference relations, and efficiency ranks. On the one hand, we formulate mathematical programming models to compute the extreme, necessary, and possible results. On the other hand, we incorporate the stochastic analysis driven by the Monte Carlo simulations to derive the probability distribution of different outcomes. The framework is implemented in R and made available on open-source software. Its use is illustrated in two case studies concerning Chinese ports or industrial robots.

Date of online publication

02.03.2023

Pages (from - to)

22-1 - 22-34

DOI

10.1007/s12351-023-00755-z

URL

https://link.springer.com/article/10.1007/s12351-023-00755-z

Comments

Article Number: 22

License type

CC BY (attribution alone)

Open Access Mode

czasopismo hybrydowe

Open Access Text Version

final published version

Date of Open Access to the publication

in press

Ministry points / journal

70

Impact Factor

2,7 [List 2022]

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