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中文摘要：
汽车出厂物流配送调度问题是物流配送智能调度研究中关注的一个重要问题。针对目前智能调度模式中仅考虑当前时间节点已知条件得出最优解的缺陷，提出了与预测技术相结合的智能在线调度模式是智能调度发展的一个值得探索的新方向。通过应用数种成熟的预测模型对实际需求数据集进行实验对比，并进一步提出智能调度中如何实际应用预测结果使得现有调度方案更加优化且可考虑到未来需求情况，证明了面向汽车出厂物流基于预测的智能在线调度模式的可行性。
英文摘要：
Vehicle outbound logistics scheduling problem is a key optimization problem for automotive logistics. Against the shortcoming of only taking known conditions into consideration, an online scheduling problem combing with efficient forecasting methods was proposed. Online scheduling is a new valuable research direction for developing intelligent scheduling system. By applying several forecasting methods to practical dataset for comparison and further putting forward how to obtain more optimal scheduling plan according to forecasting results, the feasibility of such prediction-based intelligent online scheduling mode is finally claimed.
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