This article's goal is to investigate, using an intelligent random forest model (RFM), the
logistics supply chain's network risk control method. The logistics supply chain network, a …

The machine learning model has become a critical consideration in the supply chain. Most
of the companies have experienced various supply chain risks over the past three years …

It is of practical significance to study the decision-making subject in the supply chain under
the influence of risk aversion to make a decision and make the supply chain compete in an …

Supply chain management is of great significance to business operations and
socioeconomic development. However, the current supply chain efficiency management …

In the vast sea of information, the powerful ability of machine learning (ML) algorithms to
identify specific objects through goal guidance makes them stand out from the many …

The evaluation for supply chain risk is very important to show the latent risk and eliminate
the risk. In the study, Bayesian network is proposed to evaluate the supply chain risk. The …

The complexity of supply chain networks become increasingly vulnerable to the invasion of
various types of risks and thus the supply chain risk management (SCRM) is widespread …

Because the existing methods fail to consider the statistical problem of supply chain risk
factors, the credibility of the prediction results decreases and the forecast cost increases. In …

This paper firstly defines the importance index of several types of nodes from the local and
global attributes of the supply chain network, analyzes the propagation effect of the nodes …

Companies can now expand their competitive advantages, manufacturing flexibility, and
cost savings by utilizing global supply networks that span the globe. Inadequate awareness …