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

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