| dc.description.abstract | The growth of e-commerce has increased the need for shopping in both urban
and rural locations, necessitating a wider reach and coverage for the e-logistics
industry. In order to survive in the harsh new rural market, logistics companies need
to prioritize optimizing last-mile delivery costs to maximize profits. This article seeks
to design a route optimization with the goal of maximizing profits for logistics
enterprises in order to solve the last-mile distribution problem of rural e-commerce
logistics (RECL), which is characterized by a long transportation route and slow
consumption density. To solve this problem, the route optimization model is built by
applying the Ant Colony Optimization (ACO). In particular, the ACO's heuristic
information, updated pheromone formulation, and solution structure have all been
modified to better fit the RECL's properties. The findings of the study also reflect the
network coverage of the RECL logistics enterprises, the minimum number of
transport methods required for delivery, and the extent to which the maximum profit
of logistics firms is affected. | en_US |
