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An online intelligent vehicle routing and scheduling approach for B2C e-commerce urban logistics distribution

机译:B2C电子商务城市物流配送的在线智能车辆调度与调度方法

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This paper investigates a large-scale vehicle routing and scheduling problem of B2C e-commerce urban logistics distribution in China. A qualitative and quantitative combined online intelligent scheduling approach is developed by means of incorporating operations research methods and artificial intelligence technologies. This approach aims to make good use of advantages of qualitative and quantitative methods by the complementarity of model-based computing in operations research and knowledge-based searching in artificial intelligence. A case study from a Chinese e-commerce company demonstrates its effectiveness.
机译:本文研究了中国B2C电子商务城市物流配送中的大规模车辆调度与调度问题。通过结合运筹学方法和人工智能技术,开发了定性和定量相结合的在线智能调度方法。这种方法旨在通过运筹学中基于模型的计算与人工智能中基于知识的搜索的互补性来充分利用定性和定量方法的优势。中国一家电子商务公司的案例研究证明了其有效性。

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