Assessing sustainability of supply chains by fuzzy Malmquist network data envelopment analysis: Incorporating double frontier and common set of weights

2021 ◽  
pp. 107923
Author(s):  
Amirali Fathi ◽  
Reza Farzipoor Saen
Keyword(s):  
Data Envelopment Analysis ◽  
Supply Chains ◽  
Network Data ◽  
Data Envelopment ◽  
Network Data Envelopment Analysis ◽  
Common Set Of Weights

scholarly journals Recommending investment opportunities given congestion by adaptive network data envelopment analysis model: Assessing sustainability of supply chains

2019 ◽  
Author(s):  
Hossein Hajaji ◽  
Sara Yousefi ◽  
Reza Farzipoor Saen ◽  
Amir Hassanzadeh
Keyword(s):  
Data Envelopment Analysis ◽  
Supply Chains ◽  
Data Envelopment Analysis Model ◽  
Network Data ◽  
Data Envelopment ◽  
Analysis Model ◽  
Adaptive Network ◽  
Dea Model ◽  
Network Data Envelopment Analysis ◽  
Desirable And Undesirable Outputs

Nowadays, forward-thinking companies move beyond conventional structures of organizations and consider all parties of the supply chain. The objective of this paper is to present an adaptive network data envelopment analysis (DEA) model to evaluate overall and divisional efficiency of sustainable supply chains in the presence of desirable and undesirable outputs. Our adaptive network DEA model can assess overall and divisional efficiency of supply chains given managerial and natural disposability. Also, it suggests new investment opportunity given congestion type. A case study is presented.

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