A Cross-Border e-Commerce Cold Chain Supply Inventory Planning Method Based on Risk Measurement Model

Abstract

Inventory planning results are less reliable when the statistical problem of supply chain risk factors is not considered. In conjunction with the risk measurement model, a cross-border e-commerce cold chain supply inventory planning method is proposed to effectively address the aforementioned issues. This paper aims to define the fundamental elements of the supply chain network, determine the supply chain's imbalance range, and develop a risk measurement model and also to calculate the ordering cost and storage cost, the storage cost, the cross-border e-commerce imbalance index based on the risk measurement model, the node imbalance, the dynamic programming algorithm for the imbalance node, and the identification method for the cross-border e-commerce supply chain imbalance node. Taking inventory strategy into account, the optimization model of distribution node location and the node importance evaluation system are developed. The planning of cold chain supply inventory for cross-border e-commerce is studied based on an optimized management inventory. The experimental results indicate that the throughput of the research method is between 1000 and 2500 Mbps, that the overall fluctuation range and delay are small, and that the inventory turnover rate has been significantly increased, thereby satisfying the requirements of engineering materials inventory management.