Risk Identification and Prevention Strategies for Supply Chain Disruptions
Journal: Modern Economics & Management Forum DOI: 10.32629/memf.v6i2.3951
Abstract
This study puts forward a set of comprehensive prevention strategies for supply chain disruption risk. The risk assessment model based on fuzzy logic and Bayesian network is adopted to accurately identify supply chain disruption risk. This study focuses on the application of diversified procurement strategy and information sharing and collaboration strategy in preventing supply chain disruption, and emphasizes the importance of expanding supplier network, establishing transparent information platform and promoting collaboration among partners. The study found that these strategies can effectively improve the flexibility and resilience of the supply chain and reduce the negative impact of disruption risk. Through theoretical analysis and case study, this paper provides practical guidance and theoretical support for enterprises to cope with supply chain disruption, which is of great significance for optimizing supply chain management and improving enterprises' anti-risk ability.
Keywords
supply chain disruption, risk identification, preventive strategy, information sharing, collaborative management
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[1] QIN Zhaoxiang, Jiang Li. Identification and prevention of agricultural supply chain disruption risk under the background of public emergencies [J]. Coastal Enterprises and Technology,2023(2):64-70. (in Chinese)
[2] Jiang Wei, Shi Chuyue, Cao Shaopeng. Supply chain disruption risk and customer cash holdings: Empirical evidence based on the tone of suppliers' annual reports [J]. Accounting Research,2024(3):94-108.
[3] Xu Wenping, Cen Liang. Research on Influencing Factors of supply chain elasticity of Automobile Enterprises under disruption risk [J]. Logistics Engineering and Management,2023,45(2):36-40.
[4] Liu Gang, Wang Daoming, Wang Shengbo, et al. Research on Supply Chain Management and Countermeasures of New Energy Vehicle Enterprises [J]. Internal Combustion Engine and Accessories,2023(23):113-115. (in Chinese)
[5] Wang Jiaxin, ZHAO Mu, Huang Xiang, et al. Research on Audit quality under complex supply chain network risk identification: from the perspective of global supply disruption impact [J]. Audit and Economic Research, 2019,38(5):11-22.
[2] Jiang Wei, Shi Chuyue, Cao Shaopeng. Supply chain disruption risk and customer cash holdings: Empirical evidence based on the tone of suppliers' annual reports [J]. Accounting Research,2024(3):94-108.
[3] Xu Wenping, Cen Liang. Research on Influencing Factors of supply chain elasticity of Automobile Enterprises under disruption risk [J]. Logistics Engineering and Management,2023,45(2):36-40.
[4] Liu Gang, Wang Daoming, Wang Shengbo, et al. Research on Supply Chain Management and Countermeasures of New Energy Vehicle Enterprises [J]. Internal Combustion Engine and Accessories,2023(23):113-115. (in Chinese)
[5] Wang Jiaxin, ZHAO Mu, Huang Xiang, et al. Research on Audit quality under complex supply chain network risk identification: from the perspective of global supply disruption impact [J]. Audit and Economic Research, 2019,38(5):11-22.
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