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

Authors

Kuo-Hwa Chang, Department of Industrial and Systems Engineering, Chung Yuan Christian University, 32023 Taoyuan City, TaiwanFollow
Chao-Ran Cheng, Department of Industrial and Systems Engineering, Chung Yuan Christian University, 32023 Taoyuan City, TaiwanFollow

Author Country (or Countries)

Taiwan

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).

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/amis/100321

Recommended Citation

Chang, Kuo-Hwa and Cheng, Chao-Ran (2016) "Application of Intuitionistic Fuzzy Entropy to Disruption Risk Management in Aerospace Supply Chain," Applied Mathematics & Information Sciences: Vol. 10: Iss. 3, Article 21.
DOI: http://dx.doi.org/10.18576/amis/100321
Available at: https://digitalcommons.aaru.edu.jo/amis/vol10/iss3/21