Abstract
Efficient and reasonable supply chain management helps enterprises improve their efficiency, reduce costs, shorten cash flow times, and reduce enterprise risks. Risk prevention and control is a safety symbol for supply chains. To explore different influence degrees of multirisk factors and multilinks on enterprises, we propose a supply chain risk prevention and control model based on a fuzzy influence diagram and Hopfield neural network. Using the model that both calculates the risk size and occurrence probability of the supply chain and allows identifying various risk prevention and control levels, the supply chain risk is evaluated both objectively and fairly. We analyzed the theoretical and practical properties of supply chain risk prevention and control models and used it in the H company to illustrate this model.
Highlights
A supply chain connects logistics, capital flow, and information flow from suppliers to customers and companies to generate revenue through value-added links such as processing, packaging, and transportation [1]
Most research studies on supply chain risks have focused on the classification of trigger events, which are usually called supply chain risk and are understood as the starting point for risk identification [5, 6]. erefore, in supply chain risk management, risk is characterized by the probability of events and loss to the enterprise. is article postulates that supply chain risks are affected by various factors that cause the development of a certain event to deviate from the expected activity goal. is poses a potential threat of damage and loss to upstream and downstream enterprises and even the entire supply chain [7,8,9]
We propose a supply chain risk prevention and control model based on a fuzzy influence diagram and Hopfield neural network and apply the model to specific examples
Summary
A supply chain connects logistics, capital flow, and information flow from suppliers to customers and companies to generate revenue through value-added links such as processing, packaging, and transportation [1]. The internal and external risks of a supply chain are increasing [2,3,4]. Is article postulates that supply chain risks are affected by various factors (such as the subject, object, and environment) that cause the development of a certain event to deviate from the expected activity goal. Chain risks include those caused by the lack of communication and trust between enterprises and those resulting in the failure or increased loss of the entire supply chain. Deviation activities and risk events in any link cause supply disruptions and lead to the normal operation of enterprises, which causes significant losses. Some scholars believe that uncertainty and supply disruption caused by external factors are vital to supply chain risks, which should be included in supply chain security-management systems
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