Research on Logistic Management Quality Evaluation Based on Support Vector Machine

Abstract

Abstract. For making feasible logistics management come true, fully using data resources, and establishing in line with the development of a healthy enterprise logistics management mode, this paper puts forward a new analysis model for evaluating the quality level of logistics management based on support vector machine theory. By analyzing the influence factors in the logistics business process, the proposed model predicts management efficiency of logistics operations implementation, and provide theoretical support for logistics management system optimization. The support vector machine is of accuracy and efficiency, which is effective for the quality evaluation of logistics management.