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01-Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 

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Volumes > Volume 10 > No. 3

 
   

Application of Intuitionistic Fuzzy Entropy to Disruption Risk Management in Aerospace Supply Chain

PP: 1035-1046
doi:10.18576/amis/100321
Author(s)
Kuo-Hwa Chang, Chao-Ran Cheng,
Abstract
This study proposes a multiple-criteria decision-making (MCDM) model as a hierarchical framework for strategic planning of disruption risk and selection of contiguous solutions. This model is applied to the aerospace industry, which is characterized by low-probability, high-consequence (LP-HC) disruption risk involving flight safety issues, and seeks to provide supply-chain owners a decision framework for minimizing disruption risk in the aerospace supply chain. The study’s findings indicate that application of the intuitionistic fuzzy entropy weight (IFEW) method to aerospace supply chain disruption risk management yields excellent results, and can provide enterprises wishing to establish resilient supply chains important guidelines in the selection of an optimal decision-making portfolio (ODMP).

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