Optimization of express distribution by cooperatively using private trucks and buses
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摘要: 为了应对数量多、货件小、批次频、时效性高的城市快件配送需求, 提出了公交车与自营货车协同配送的运营模式, 构建了以快递运营总成本最低为目标的快件配送优化模型; 通过决策快递的配送批次、起运时间和运输路径, 优化了公交车与货车协同配送下的快件运输网络; 设计了蚁群算法求解模型; 基于大连市道路网与公交线网, 分别求解有97个需求点的协同配送和货车单独配送方案, 并比较了配送结果。分析结果表明: 在协同配送模式下, 总成本降低了9.5%, 货车的行驶距离减少了12.6%, 二氧化碳排放量由0.159t减少到0.139t, 未按时配送的需求点减少了26.2%, 总延误降低了57.7%;协同配送的单位时间惩罚成本适用范围为0.2~0.4元·min-1, 公交车最优单位配送价格为1.5元· (t·km) -1。可见, 在一定范围内, 协同运输模式的配送成本低, 配送准时性高, 产生的环境负荷少, 可以提供比货车单独配送更好的服务。Abstract: For dealing with the demand of large quantity, small parcel, high batch frequency, and high timeliness of urban express distribution, the distribution mode by cooperatively using buses and private trucks was proposed, and an optimization model aimed at minimizing the total cost of express distribution was built.The transport network of expresses based on cooperatively using private trucks and buses was optimized by determining distribution batches, departure time and distribution routes.Ant colony algorithm was designed for solving model.The schemes of collaborative distribution and sparate distribution only using trucks were solved and compared for97 demand sites based on the road network and public transit network in Dalian.Analysis result shows that, in collaborative distribution mode, the total cost decreases by 9.5%, the driving distance of trucks decreases by 12.6%, the CO2 emission decreases from 0.159 tto 0.139 t, the demand sites of unpunctual distribution decreases by 26.2%, and the total delay decreases by57.7%.In additional, the applicative range of unit time penalty cost of collaborative distribution is 0.2-0.4 yuan·min-1, and the optimal unit distribution cost of buses is 1.5 yuan· (t·km) -1.In conclusion, the collaborative distribution can provide better service than truck distributionbecause of lower distribution cost, higher punctuality and less environmental load in certain extent.
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Key words:
- urban express /
- cotransport /
- bus /
- private truck /
- vehicle routing /
- ant colony algorithm
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表 1 求解结果比较
Table 1. Solving results comparison
表 2 协同配送方案
Table 2. Collaborative distribution schemes
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