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针对交通限行条件下城市物流配送中的现实问题,提出多阶段跨区域联合配送策略.考虑到货车限行时段的约束,以客户时间窗和地理位置划分客户服务区域,分时段、分阶段地开展配送服务.充分考虑配送距离、车载率、行驶速度等多种因素,设计以油耗为可变成本和车辆启动费用为固定成本之和最小的优化目标,建立面向交通限行的多阶段跨区域联合配送模型.针对模型的特征,设计自适应遗传算法.最后,结合算例对模型的可行性以及算法的有效性进行了验证分析.
In view of the practical problems of urban logistics and distribution under the traffic limit, a multi-stage and cross-regional joint delivery strategy is proposed. Considering the restraint of the limited time period of freight trains, customer service areas are divided according to customer time window and geographical location, Service.Considering various factors such as delivery distance, carload rate, driving speed and other factors, we designed a multi-stage cross-regional joint delivery system with traffic limitation as variable cost and vehicle startup cost as the least optimization goal Model.According to the characteristics of the model, an adaptive genetic algorithm is designed.Finally, the feasibility of the model and the validity of the algorithm are verified with the examples.