Author(s)

Lin Miao

Corresponding Author

Lin Miao

ABSTRACT

The supply chain replenishment strategy is usually influenced by the supply chain structure, demand changes, supply sources, and inventory status. To achieve replenishment process refinement and effective implementation, a stochastic Petri net model based on influencing factors of uncertainty in supply chain warehousing replenishment was used to study supply chain warehousing replenishment strategies. The supply chain warehousing management process was designed by comparing it with the traditional enterprise warehousing process. The supply chain replenishment process was analyzed, and a replenishment strategy algorithm was designed. In keeping with the supply chain warehousing management process, the warehouse replenishment strategy model was constructed with the help of cargo priority management strategy. Finally, the replenishment strategy function was analyzed. Using the Petri net model to intuitively portray warehouse management process and describe the dynamic change of warehouse replenishment, this paper is expected to implement different warehouse replenishment strategies to solve the problem of out of stock supply chain warehousing caused by uncertainty.

KEYWORDS

Supply chain warehousing, replenishment strategy, stochastic Petri Nets, function analysis