Data envelopment analysis and robust optimization: A review

Pejman Peykani; Emran Mohammadi; Reza Farzipoor Saen; Seyed Jafar Sadjadi; Mohsen Rostamy-Malkhalifeh

doi:10.1111/exsy.12534

Data envelopment analysis and robust optimization: A review

Pejman Peykani, Emran Mohammadi, Reza Farzipoor Saen^*, Seyed Jafar Sadjadi, Mohsen Rostamy-Malkhalifeh

^*Corresponding author for this work

Operations Management & Business Statistics

Research output: Contribution to journal › Review article › peer-review

60 Citations (Scopus)

Abstract

This paper reviews the milestone approaches for handling uncertainty in data envelopment analysis (DEA). This paper presents the detailed classifications of robust data envelopment analysis (RDEA). RDEA is appropriate for measuring the efficiencies of decision-making units in the presence of the data and distributional uncertainties. This paper reviews scenario-based and uncertainty set of DEA models. It covers 73 studies from 2008 to 2019. The paper concludes with suggestions about the guidelines for future researches in the field of RDEA.

Original language	English
Article number	e12534
Journal	Expert Systems
Volume	37
Issue number	4
DOIs	https://doi.org/10.1111/exsy.12534
Publication status	Published - Aug 1 2020

Keywords

continuous uncertainty
data envelopment analysis (DEA)
discrete uncertainty
robust DEA (RDEA)
robust optimization

ASJC Scopus subject areas

Control and Systems Engineering
Theoretical Computer Science
Computational Theory and Mathematics
Artificial Intelligence

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10.1111/exsy.12534

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abstract = "This paper reviews the milestone approaches for handling uncertainty in data envelopment analysis (DEA). This paper presents the detailed classifications of robust data envelopment analysis (RDEA). RDEA is appropriate for measuring the efficiencies of decision-making units in the presence of the data and distributional uncertainties. This paper reviews scenario-based and uncertainty set of DEA models. It covers 73 studies from 2008 to 2019. The paper concludes with suggestions about the guidelines for future researches in the field of RDEA.",

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AU - Rostamy-Malkhalifeh, Mohsen

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AB - This paper reviews the milestone approaches for handling uncertainty in data envelopment analysis (DEA). This paper presents the detailed classifications of robust data envelopment analysis (RDEA). RDEA is appropriate for measuring the efficiencies of decision-making units in the presence of the data and distributional uncertainties. This paper reviews scenario-based and uncertainty set of DEA models. It covers 73 studies from 2008 to 2019. The paper concludes with suggestions about the guidelines for future researches in the field of RDEA.

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KW - data envelopment analysis (DEA)

KW - discrete uncertainty

KW - robust DEA (RDEA)

KW - robust optimization

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Data envelopment analysis and robust optimization: A review

Abstract

Keywords

ASJC Scopus subject areas

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