Optimization of the front-end logistics routes of agricultural products based on network platform

Aiming to promote the effective connection between the individual farmers and the modern “big market” and improve the logistics efficiency of agricultural products, this paper offers a logistics model for decentralized production to achieve organized information and large-scaled transportation. Based on the in-depth analysis of the traditional agricultural product logistics chain, this paper originates a network logistics model for agricultural products. It constructs a two-stage framework (grouping first and then scheduling), analyzes the “First Mile” logistics routes, and then uses the improved loop routes optimization algorithm to obtain the approximate optimal solution to the model. Through example verification, it is found that the model can help improve the efficiency of logistics distribution and save the logistics costs of small agricultural products from fragmented land. Moreover, the results show that the agricultural product logistics method based on overall transportation and information management is obviously superior to the traditional logistics methods. © 2018, University of Split. All rights reserved.