快递配送终端优化研究

Research on Express Distribution Terminal Optimization

电子商务环境下,如何解决快递配送速度问题至关重要,基于现阶段的配送状况和快递"最后一公里"的问题,文中以快递机使用成本、车辆配送成本以及乘客取件成本最小为目标,构建了快递机布局选址及配送路径的数学模型,采用遗传算法对模型进行求解,并在模型中设置有限的约束条件从而保证了算法的收敛性。通过实例验证了模型和求解算法的正确性,有效解决了配送终端优化问题。

Under the electronic commerce environment, how to solve the problem of express delivery speed is vital, based on the current distribution situation and the problem of ＂the last kilometer＂ of express, the model about the express machine layout and the distribution routing is built, which aim to minimum the using express machine cost, vehicle distribution cost and passengers pick-up the parcels cost. Then the genetic algorithm is adopted to solve this model, and the limited constraint conditions are set up in the model to guarantee the convergence of the algorithm. Through the example, the correctness of the model and algorithm is verified, which can solve the distribution terminal optimization problem effectively.