Two-Factor DEA Modeling and Clustering of Homogeneous Firms

Two-Factor DEA Modeling and Clustering of Homogeneous Firms

The paper presents a model for clustering homogeneous firms according to their operation efficiency over a certain time period. The firm efficiency is studied by the Data Envelopment Analysis (DEA) methodology, which is based on solving optimization problems and permits one to compare firms taking i...

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Veröffentlicht in:Automation and remote control 2021-05, Vol.82 (5), p.877-888
Hauptverfasser: Bure, V. M., Parilina, E. M., Staroverova, K. Yu
Format: Artikel
Sprache:eng
Schlagworte:
CAE) and Design
Calculus of Variations and Optimal Control
Optimization
Clustering
Computer-Aided Engineering (CAD
Control
Data envelopment analysis
Efficiency
Mathematical Game Theory and Applications
Mathematics
Mathematics and Statistics
Mechanical Engineering
Mechatronics
Modelling
Optimization
Robotics
Systems Theory
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Beschreibung
Zusammenfassung:The paper presents a model for clustering homogeneous firms according to their operation efficiency over a certain time period. The firm efficiency is studied by the Data Envelopment Analysis (DEA) methodology, which is based on solving optimization problems and permits one to compare firms taking into account many factors of their operation. At the second step of the analysis, the time series of firm efficiency estimators obtained by DEA modeling are used to cluster firms and find stable partitions of the set of firms.
ISSN:0005-1179
1608-3032
DOI:10.1134/S0005117921050118