- Tytuł:
- Assessment of mixed network processes with shared inputs and undesirable factors
- Autorzy:
-
Nematizadeh, Maryam
Amirteimoori, Alireza
Kordrostami, Sohrab
Vaez-Ghasemi, Mohsen - Powiązania:
- https://bibliotekanauki.pl/articles/406305.pdf
- Data publikacji:
- 2020
- Wydawca:
- Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
- Tematy:
-
network data envelopment analysis
parallel-series mixed networks
weak disposability
undesirable factors
ranking - Opis:
- In the real world, there are processes whose structures are like a parallel-series mixed network. Network data envelopment analysis (NDEA) is one of the appropriate methods for assessing the performance of processes with these structures. In the paper, mixed processes with two parallel and series components are considered, in which the first component or parallel section consists of the shared inputs, and the second component or series section consists of undesirable factors. By considering the weak disposability assumption for undesirable factors, a DEA approach as based on network slackbased measure (NSBM) is introduced to evaluate the performance of processes with mixed structures. The proposed model is illustrated with a real case study. Then, the model is developed to discriminate efficient units.
- Źródło:
-
Operations Research and Decisions; 2020, 30, 1; 97-118
2081-8858
2391-6060 - Pojawia się w:
- Operations Research and Decisions
- Dostawca treści:
- Biblioteka Nauki