Negative data in DEA: recognizing congestion and specifying the least and the most congested decision making units

DOI10.1016/j.cor.2016.09.002zbMath1391.90347OpenAlexW2509650382MaRDI QIDQ1652144

Robabeh Eslami, Mohammad Khoveyni, Guo-liang Yang

Publication date: 11 July 2018

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2016.09.002

zbMATH Keywords

data envelopment analysis (DEA)slack variablesmixed integer programming (MIP) modelnegative data in deastrong and weak congestion

Mathematics Subject Classification ID

Linear programming (90C05) Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)

Related Items (4)

Identification of congestion in data envelopment analysis under the occurrence of multiple projections: a reliable method capable of dealing with negative data ⋮ Using network data envelopment analysis to assess the sustainability and resilience of healthcare supply chains in response to the COVID-19 pandemic ⋮ A modified DEA cross efficiency method with negative data and its application in supplier selection ⋮ A two-stage improved base point slacks-based measure of super-efficiency for negative data handling

Cites Work

• Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
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• Congestion measurement in nonparametric analysis under the weakly disposable technology
• Degree of scale economies and congestion: a unified DEA approach
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• Suitable combination of inputs for improving outputs in DEA with determining input congestion: Considering textile industry of China.
• Introduction: Extensions and new developments in DEA
• Modeling undesirable factors in efficiency evaluation
• A semi-oriented radial measure for measuring the efficiency of decision making units with negative data, using DEA
• A one-model approach based on relaxed combinations of inputs for evaluating input congestion in DEA
• Measuring congestion in production
• Congestion of Production Factors
• Negative data in DEA: a directional distance approach applied to bank branches
• Comparisons and evaluations of alternative approaches to the treatment of congestion in DEA

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