| 考虑客户满意度的网购物流配送路径优化 |
| |
| 引用本文： | 赵锐,胡雄,何红弟.考虑客户满意度的网购物流配送路径优化[J].上海海事大学学报,2015,36(3):64-70. |
| |
| 作者姓名： | 赵锐 胡雄 何红弟 |
| |
| 作者单位： | 上海海事大学 科学研究院,上海海事大学 科学研究院,上海海事大学 科学研究院 |
| |
| 基金项目： | 国家自然科学基金（71171129）；上海市自然科学基金（12PJ1404000） |
| |
| 摘 要： | 为更全面地反映网购物流配送的客户满意度,引入客户满意度指标.首先,考虑城市交通管制的硬时间窗约束和客户要求的软时间窗约束,建立最小配送成本和最短配送时间的多目标优化模型;然后,引入客户满意度指标,并设定客户满意度阈值,对该模型进行优化.设计遗传算法求解该优化模型.结合实际算例对模型和算法的有效性进行验证.结果表明:优化后的模型可以在保证较低配送成本和较少配送时间的基础上,最大化配送服务的客户满意度水平.该方法不存在客户流失的风险,有利于提高企业的竞争优势,符合企业的长远利益.
|
| 关 键 词： | 客户满意度 物流配送 硬时间窗 软时间窗 遗传算法 |
| 收稿时间： | 2014/6/13 0:00:00 |
| 修稿时间： | 2014/9/29 0:00:00 |
E-commerce logistics distribution routing optimization considering customer satisfaction |
| |
| Institution: | shanghai maritime university logistics research center |
| |
| Abstract: | In order to better reflect customer satisfaction in the process of e commerce logistics distribution, the customer satisfaction index is introduced. First, a multi objective optimization model is formulated with the minimal distribution cost and time under the hard time window constraint of urban traffic control and the soft time window constraint of customer requirements. Then, the index of the customer satisfaction is introduced and its threshold is set to optimize the model. The genetic algorithm is designed to solve the optimized model. Finally, the efficiency of the model and the algorithm is verified with an example. The result shows that the optimized model can maximize the customer satisfaction with the lower distribution cost and the shorter distribution time. It is helpful for enterprises to improve the competitive advantage and satisfy the long term interest without the risk of losing customers. |
| |
| Keywords: | customer satisfaction logistics distribution hard time window soft time window genetic algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《上海海事大学学报》浏览原始摘要信息 |
| 点击此处可从《上海海事大学学报》下载免费的PDF全文 |
