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首页> 外文期刊>Journal of Industrial Engineering and Management >Express company’s vehicle routing optimization by multiple-dynamic saving algorithm
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Express company’s vehicle routing optimization by multiple-dynamic saving algorithm

机译：通过多动态保存算法优化快递公司的车辆路线

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Purpose: According to the disorder in circulation commuting and crossover commuting of SF company which is the China’s largest private express delivery service provider, the study uses the Saving Algorithm to make the vehicle routing and resources optimized, on this basis, proposes innovative improvements with Saving Algorithm and then applies it in every distribution center of SF forming a "multi-dynamic" type of Saving Algorithm to ensure both cost savings and timeliness. This method can be generalized for all express company to get the vehicle routing optimized.Design/methodology/approach: As the special transportation requirements of express companies, this study optimizes the vehicle route based on Saving Algorithm, uses multiple-dynamic Saving Algorithm, and considers the timeliness requirements of the express company to achieve a balance of cost and timeliness.Findings: The main finding is that a new method proposed which there can be a balance improvement for both cost and timeliness to optimize the vehicle route of express company. Calculation example validates the effectiveness of the model established and solving method.Practical implications: It is a widespread practice that by setting up model and parameters for the objectives, express company can maintain the balances between cost and timeliness and achieve the optimized vehicle route.Originality/value: It proposes innovative improvements, takes SF express company as an example, with Saving Algorithm which can be applied in every distribution center of express company to ensure the balance improvement for both cost and timeliness, and has a great practical significance to the transportation network and path optimization of express companies.
机译：目的：根据中国最大的民营快递服务提供商顺丰公司的通勤通勤和交叉通勤的混乱情况，本研究利用“节省算法”对车辆的路线和资源进行优化，在此基础上提出“节省”的创新性改进。然后将该算法应用到SF的每个配送中心，形成“多动态”类型的保存算法，以确保节省成本和及时。设计/方法/方法：针对快递公司的特殊运输要求，本研究基于节能算法优化了车辆路线，采用多动态节能算法，研究发现：主要发现是，提出了一种可以在成本和时效性两者之间取得平衡的新方法，以优化快递公司的车辆路线。计算示例验证了所建立的模型和求解方法的有效性。实际意义：通过建立目标模型和参数，快递公司可以维持成本和及时性之间的平衡，并实现优化的车辆路线是一种广泛的实践。 /值：提出创新性改进，以顺丰快递公司为例，采用节省算法，可应用于快递公司的每个配送中心，以确保成本和及时性的平衡改善，对运输具有重要的现实意义快递公司的网络和路径优化。

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