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2586. A generalized composition approach in Network Data Envelopment Analysis for complex structures: An application to higher education institutions in Poland

Invited abstract in session MD-48: DEA applications in Education and Health I, stream Data Envelopment Analysis and its Application.

Monday, 14:30-16:00
Room: 60 (building: 324)

Authors (first author is the speaker)

1. Dimitrios-Georgios Sotiros
Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology
2. Julia Nasiadka
Department of Operations Research and Business Intelligence, Wrocław University of Science and Technology
3. Gregory Koronakos
Department of Informatics, University of Piraeus
4. Dimitris Despotis
Department of Informatics, University of Piraeus

Abstract

Network Data Envelopment Analysis (NDEA) is an extension of Data Envelopment Analysis (DEA) that takes into consideration the internal structure of Decision Making Units (DMUs) in the efficiency assessment. In NDEA, every DMU is conceived as a network of several sub-processes arranged into a series, parallel or mix of series and parallel (complex) structures. In the literature, most of the studies focus on series structures while the drawbacks of the methods developed for the efficiency assessment of parallel structures are neglected. In this paper, we discuss the pitfalls of the most established NDEA method for parallel structures, and we develop a new method to treat these issues. Our method relies on Multi-Objective Programming (MOP) techniques and can be generalized to any type of internal structure. We compare the introduced method with other prominent methods in the literature highlighting the differences and the advantages of the proposed method. Finally, we employ this method to evaluate the teaching and research efficiency of Polish higher education institutions.

Keywords

Status: accepted

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