Application of Data Mining Algorithm in Agricultural Products Logistics Network Planning

Abstract

The location of agricultural products center is related to the overall operation efficiency of logistics system and has a great impact on the follow-up agricultural products distribution route planning. The distribution route planning directly determines the total transportation cost and customer service quality of the whole logistics system. In this study, the problem of location path under the background of agricultural products logistics is studied, and an algorithm of agricultural products logistics network planning based on space-time constraints is proposed. An algorithm based on K-means is used to cluster the time-space double factors of customers. Minimize the total distribution cost under the constraints of meeting customer needs and minimizing time window deviation. Experimental results show that the proposed algorithm has better performance through Taguchi analysis and master-slave two-layer model analysis, and its algorithm has better convergence and sensitivity and can better reduce the total cost of distribution and the length of transportation path.