| 基于客户价值和满意度的城市冷链物流时变路径问题 |
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| 引用本文： | 王宁,胡大伟,徐杰,赵姣. 基于客户价值和满意度的城市冷链物流时变路径问题[J]. 中国公路学报, 2021, 34(9): 297-308. DOI: 10.19721/j.cnki.1001-7372.2021.09.025 |
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| 作者姓名： | 王宁 胡大伟 徐杰 赵姣 |
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| 作者单位： | 长安大学 运输工程学院, 陕西 西安 710064 |
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| 基金项目： | 国家自然科学基金项目（71971030）；陕西省自然科学基金重点项目（2021JZ-20）；陕西省自然科学基金项目（2020JQ-399） |
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| 摘 要： | 针对车辆保有量日益增加和拥堵情况日趋严重而造成的城市冷链物流时效性不强、客户价值不高、顾客满意度降低等问题,综合考虑客户价值、客户满意度以及成本等因素,提出一种城市冷链物流时变路径优化方法.考虑到冷链配送过程中不同时段的道路拥堵问题,采用分段函数刻画车辆行驶速度,并同时考虑时间窗和车辆载重量等约束,建立了多目标数学模型...
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| 关 键 词： | 交通工程 冷链物流 单亲遗传算法 客户价值 客户满意度 时变路网 |
| 收稿时间： | 2020-08-05 |
Time-dependent Vehicle Routing of Urban Cold-chain Logistics Based on Customer Value and Satisfaction |
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| WANG Ning,HU Da-wei,XU Jie,ZHAO Jiao. Time-dependent Vehicle Routing of Urban Cold-chain Logistics Based on Customer Value and Satisfaction[J]. China Journal of Highway and Transport, 2021, 34(9): 297-308. DOI: 10.19721/j.cnki.1001-7372.2021.09.025 |
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| Authors: | WANG Ning HU Da-wei XU Jie ZHAO Jiao |
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| Affiliation: | School of Transportation Engineering, Chang'an University, Xi'an 710064, Shaanxi, China |
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| Abstract: | The increase in vehicle population and severe congestion causes problems, such as the weak timeliness of urban cold-chain logistics, low customer value, and reduction in customer satisfaction. In this study, customer satisfaction, customer value, and cost were considered, and an optimization algorithm was established to solve the time-dependent vehicle routing problem of urban cold-chain logistics. For road congestion during different periods of the cold-chain distribution process, a piecewise function was used to express the vehicle travelling speed. A multiobjective mathematical model of this problem was established, considering the time window, vehicle capacity, and other constraints. The multiobjective was processed using the linear weighting method and the main objective method, and it was transformed into a single-objective mathematical model. Based on the nondeterministic polynomial-time hardness of the problem, a parthenogenetic algorithm was designed to solve small-, medium-, and large-scale examples. Compared with the model that does not reflect the customer value, the proposed model increases customer value and customer satisfaction by 14.96% and 14.64%, respectively, when the cost decreases by 3.28%. Compared with the model neglecting the cost factor, the proposed model decreases the cost by 17.32% when the customer value decreases by 1.55%. Compared with the static road network model, the model proposed in this study reduces the cost by 0.92% and improves customer satisfaction and customer value by 6.27% and 16.06%, respectively. Through the parameter analysis of the cost and customer-value weights in the objective function, a robust reverse relationship between cost and customer value is observed. |
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| Keywords: | traffic engineering cold chain logistic partheno genetic algorithm customer value customer satisfaction time varying road network |
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