Construction of convex three-dimensional sections in DEA models with selective convexity

The Data Envelopment Analysis (DEA) approach emerged at the end of the last century. This approach is a generalization of simple indicators of production units behavior to a multidimensional case. This approach leads in reality to the solution of large family of optimization problems. The Free Disposal Hull (FDH) models were proposed almost at the same time. However, production possibility set (PPS) of FDH models is non-convex. One can stress that the DEA and FDH technologies are two extreme cases for application and investigation of production unit’s behavior. However, some new models have appeared recently for investigation of complex production units. The models with selective convexity embrace a wide class of DEA models where such variables as percentages, ratios, averages, etc. are considered in order to expand the range of their applications. Any mathematical discipline is trying to use visualization for the interpretation and explanation of its important notions. This is especially important for DEA models, since this scientific instrument was intended also for managers and other practitioners, not only for scientists. However, there exist a small number of papers devoted to the visualization methods in the DEA area. In this paper, methods for constructions of convex three-dimensional sections in DEA models with selective convexity are considered. © 2025 Elsevier B.V., All rights reserved.

Авторы
Krivonozhko Vladimir E. 1, 2 , Aphanasyev Alexandr P. 2, 3, 4 , Lychev Andrey V. 1 , Khoner Pavel D. 1
Издательство
Springer
Язык
Английский
Статус
Опубликовано
Год
2025
Организации
  • 1 National University of Science & Technology (MISIS), Moscow, Russian Federation
  • 2 Lomonosov Moscow State University, Moscow, Russian Federation
  • 3 Centre for Distributed Computing, Institute for Information Transmission Problems of the Russian Academy of Sciences, Moscow, Russian Federation
  • 4 RUDN University, Moscow, Russian Federation
Ключевые слова
Data envelopment analysis; Frontier visualization; Isoquants; Selective convexity; Three-dimensional sections
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