Assessment of Mixed Network Processes with Shared Inputs and Undesirable Factors

• Autorzy: Maryam Nematizadeh , Alireza Amirteimoori , Sohrab Kordrostami , Mohsen Vaez-Ghasemi
• Języki publikacji: EN

Abstrakty

EN

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)

Słowa kluczowe

EN

Data Envelopment Analysis (DEA); Ranking

PL

Metoda DEA (analiza obwiedni danych); Ranking

• Czasopismo: Operations Research and Decisions
• Rocznik: 2020
• Tom: 30
• Numer: nr 1
• Strony: 97--118

Twórcy

autor

Maryam Nematizadeh

• Islamic Azad University, Rasht, Iran

autor

Alireza Amirteimoori

• Islamic Azad University, Rasht, Iran

autor

Sohrab Kordrostami

• Islamic Azad University, Lahidjan, Iran

autor

Mohsen Vaez-Ghasemi

• Islamic Azad University, Rasht, Iran

Bibliografia

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Identyfikatory

DOI

10.37190/ord200106