Food Supply Chain Risk Analysis and Prediction – Analysis Based on Beijing Food Safety Incidents

Authors

  • Zhihao Jin
  • Yifan Qian
  • Xi Xi

DOI:

https://doi.org/10.56028/aemr.9.1.310.2024

Keywords:

food supply chain; risk analysis and prediction; Bayesian networks.

Abstract

This article measures and predicts the risks in the food supply chain using fault tree analysis and Bayesian networks. It also proposes relevant solutions to enhance consumer trust and purchasing intention in the Chinese food industry. In recent years, food safety incidents have not only caused panic among consumers but also significantly impacted the development of our country's food industry. The lack of consumer trust not only damages companies but also has a negative impact on the entire supply chain. Therefore, this article aims to analyze various aspects of the food supply chain, evaluate risk indicators, and provide targeted recommendations to address safety risks in the food supply chain. The ultimate goal is to increase consumer trust in the Chinese food industry and further promote its developmentr.

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Published

2024-03-05