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Autor
Nematizadeh Maryam (Islamic Azad University, Rasht, Iran), Amirteimoori Alireza (Islamic Azad University, Rasht, Iran), Kordrostami Sohrab (Islamic Azad University, Lahidjan, Iran), Vaez-Ghasemi Mohsen (Islamic Azad University, Rasht, Iran)
Tytuł
Assessment of Mixed Network Processes with Shared Inputs and Undesirable Factors
Źródło
Operations Research and Decisions, 2020, vol. 30, no. 1, s. 97-118, rys., tab., bibliogr. 26 poz.
Słowa kluczowe
Metoda DEA (analiza obwiedni danych), Ranking
Data Envelopment Analysis (DEA), Ranking
Uwagi
summ.
Abstrakt
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 in-puts, 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 slack-based 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. (original abstract)
Dostępne w
Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka SGH im. Profesora Andrzeja Grodka
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach
Pełny tekst
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Bibliografia
Pokaż
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Cytowane przez
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ISSN
2081-8858
Język
eng
URI / DOI
http://dx.doi.org/10.37190/ord200106
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