Research on Emergency Material Optimization Scheduling and Importance Decision in Cluster Supply Chain

Abstract

In order to solve the problem of optimal scheduling and reasonable allocation of limited materials in a short time after a natural disaster, a clustering supply chain emergency material distribution priority decision algorithm based on density clustering algorithm is proposed. Perform clustering as a factor indicator to determine the priority level of emergency material distribution in each supply chain in the clustered supply chain. Based on the material importance, timeliness, and gap index factors, a fuzzy C-means clustering algorithm for supply chain emergency material demand importance decision algorithm is proposed to classify a variety of emergency materials required in disaster areas when an emergency occurs. , And decide the importance of each type of emergency supplies. The results of simulation experiments verify the feasibility of the emergency supply materials scheduling and importance decision-making method for the clustered supply chain. The decision results guarantee the optimal scheduling and allocation of limited supplies in the shortest possible time. And transportation programs provide theoretical support.