Food quality and safety emergencies pose significant challenges to public health and safety, requiring effective emergency decision-making strategies. However, much scholarly attention has focused on the characteristics, evolutionary mechanism, and operational mechanism of emergencies, but those debates typically overlook the particularity of food production enterprises and the complexity, urgency, and harmfulness of such emergencies. Considering these, we explore the occurrence, development, evolutionary mechanism, and development process of food quality and safety emergencies from the perspective of food production enterprises. Then, taking Coca-Cola's chlorine pollution emergency as an example, we establish a situational deduction model using the Bayesian network. Subsequently, an emergency decision-making system is constructed, and emergency decision schemes are provided. Our findings show that food quality and safety emergencies occur when the entropy value exceeds the system threshold. The implementation of emergency decision-making is a process of energy exchange with the external environment to form a new dissipative structure. Scenario analysis is a cyclic process influenced by the emergency evolution, external environment, and emergency decision-making. Effective emergency decision-making requires a comprehensive analysis of the event situation, rational resource mobilization, and the use of professional knowledge and experience. This study provides a novel approach to understanding and managing food quality and safety emergencies in food production enterprises, emphasizing the need to consider the particularity and complexity of such emergencies when developing decision-making strategies. Our situational deduction model and emergency decision-making system provide a practical tool for enhancing emergency response capabilities, ensuring public health and safety, and maintaining brand image.
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